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Yes. I Googled "Ivan Chase" and found this page:

  http://www.sunysb.edu/sociology/lab/index.htm

Here are three of his papers that are accessible there:

*1) VACANCY CHAINS  */Annu. Rev. Sociol. 1991. 17:133-54/
http://www.sunysb.edu/sociology/lab/pub/vaca_ars91.html

/Abstract/
The concept of vacancy chains, originally developed in Harrison White's
pioneering analysis of organizational mobility processes, has been extended
to phenomena as diverse as national labor and housing markets, the
historical
development of professions, gender and ethnic group discrimination in job
and housing markets, organizational demography, and the mobility of hermit
crabs to empty snail shells. In all populations in which they occur--whether
human or animal--vacancy chains appear to organize a variety of social
processes in nearly identical ways......


*2) Vacancy chains: a process of mobility to new
resources in humans and other animals
*Biology and social life, Biologie et vie sociale
Ivan D. Chase and Theodore H. De Witt
http://www.sunysb.edu/sociology/lab/pub/biossi88.html/


/*3) The vacancy chain process: a new mechanism of resource
distribution in animals with application to hermit crabs
*/Anim. Behav/., 1988, *36*, 1265-1274
IVAN D. CHASE, MARC WEISSBURG & THEODORE H. DEWITT
http://www.sunysb.edu/sociology/lab/pub/animbehav88.html

*Abstract*. A number of resources important to humans such as jobs in
bureaucracies, houses and apartments are allocated through a mechanism
known as a vacancy chain. In a vacancy chain process an initial, vacant
resource unit entering a population of users is taken by a first
individual who leaves his/her previous resource unit behind, which is
taken by a second individual, and so on. In this process an initial
resource unit works both directly and indirectly to provide
opportunities for several individuals to gain new and better resources.
Vacancy chains are hypothesized to be important in resource distribution
for a variety of non-human animals, and it is documented, in particular,
that the hermit crab /Pagurus longicarpus /gets the gastropod shells in
which it lives through this mechanism. The direct and indirect effects
of vacancy chains on hermit crabs and the systematic ways in which
chains flow through groups of crabs and their resources are indicated.
In systems where they occur, it is further hypothesized that vacancy
chains have unique implications for the ecology of resource users.
several of these hypotheses are explored using the example of hermit crabs.

The vacancy chain process is a unique mechanism of resource allocation
that researchers have reported previously only in human populations.
Houses and apartments (e.g. Lansing et al. 1969; Sands & Bower 1976) and
jobs in bureaucracies (e.g. White 1970; Stewman 1975) are allocated
through this mechanism. Although researchers have not yet undertaken
formal studies, we pro- pose that major human consumer goods such as
automobiles (Smith 1941; White 1970), airplanes and boats also move
through vacancy chains. We demonstrate that vacancy chains also describe
the allocation of a vital resource in a non-human population, the
acquisition of gastropod shells by the hermit crab, /Pagurus
longicarpus/. We indicate how vacancy chains order the movement of
shells from one crab to another, and we explore the implications of this
type of resource allocation for the behaviour and fitness of crabs. (See
Chase & DeWitt 1988 for an initial report.)


He has links to related material. I found the one about "Giant Pacific
Octopus/ (octopus dofleini)/  to be especially interesting, perhaps
because this material, including the wonderful photographs, were done in
the waters around Vancouver, British Columbia. You can see how vacancy
chains work if you study them.

Enjoy!

Bill

Don Steiny wrote:

>Hi,
>        Are any of Ivan Chase's papers on line?
>-Don
>
>

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*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

He has links to related material. I found the one about "Giant Pacific
Octopus/ (octopus dofleini)/  to be especially interesting, perhaps
because this material, including the wonderful photographs, were done in
the waters around Vancouver, British Columbia. You can see how vacancy
chains work if you study them.

Here's the URL:  http://dive.bc.ca/pictures/octo/octo.html

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From:         Vaughan <[log in to unmask]>
Subject:      Random network generation

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Hello everyone,

I would like to generate a random network, with a similar number of ndoes
and connection to the network I have created from field data, to compare the
distance and clustering co-efficient of each. Not unlike the the method in
http://arxiv.org/pdf/cond-mat/0307439

My network created from field data has no isolated nodes. However, when I
ask Pajek to create a network with the same number of nodes and connections
I get plenty of isolates, which apparently will not make a valid clustering
co-efficient or distance comparison.

Andrew Shipilov kindly suggested to my that it is possible to generate
distance and clustering coefficients purely from knowing the number of nodes
and connections I wish to use, although I am having trouble tracking down
this method.

Can anyone suggest a way of either generating a random network with a
specified number of nodes and connections that has no isolates or doing the
above calculation ?

Many thanks,
Vaughan Bell

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Comments: To: Vaughan <[log in to unmask]>

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Vaughan,

As I indicated to you, this method is described by Duncan Watts in his 1999 AJS paper. More specicially, you don't need to generate random networks to know their path length or clustering coefficient. The approximations for path length can be computed as follows:

Lrandom=ln(n)/ln(k) where n is the number of nodes and k is a number of ties in the network

Approximation for clustering coefficient is computed as
Crandom=k/n

Again, for more comprehensive review, I suggest you read:
Watts, D. 1999 "Networks, dynamics and the small world phenomenon." American Journal of Sociology, 105: 493-527

Andrew

        -----Original Message-----
        From: Vaughan [mailto:[log in to unmask]]
        Sent: Tue 11/18/2003 6:03 AM
        To: [log in to unmask]
        Cc:
        Subject: Random network generation



        *****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

        Hello everyone,

        I would like to generate a random network, with a similar number of ndoes
        and connection to the network I have created from field data, to compare the
        distance and clustering co-efficient of each. Not unlike the the method in
        http://arxiv.org/pdf/cond-mat/0307439

        My network created from field data has no isolated nodes. However, when I
        ask Pajek to create a network with the same number of nodes and connections
        I get plenty of isolates, which apparently will not make a valid clustering
        co-efficient or distance comparison.

        Andrew Shipilov kindly suggested to my that it is possible to generate
        distance and clustering coefficients purely from knowing the number of nodes
        and connections I wish to use, although I am having trouble tracking down
        this method.

        Can anyone suggest a way of either generating a random network with a
        specified number of nodes and connections that has no isolates or doing the
        above calculation ?

        Many thanks,
        Vaughan Bell

        _____________________________________________________________________
        SOCNET is a service of INSNA, the professional association for social
        network researchers (http://www.sfu.ca/~insna/). To unsubscribe, send
        an email message to [log in to unmask] containing the line
        UNSUBSCRIBE SOCNET in the body of the message.


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Reply-To:     Jim W Lai <[log in to unmask]>
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Subject:      Re: Lombardi edges
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*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

On Mon, 17 Nov 2003, Peter Simon wrote:
> We could have pseudo-Lombardi edges--curved in some fashion rather than dead
> straight.

Splines have been extensively studied and used in the computer graphics field.
That would be my recommendation for a starting point, as it were.

For instance, Google also turned up this fairly quickly.
http://www.research.att.com/areas/visualization/papers_videos/ofullindex.html
"Path Router (MPG - 4.3 MB)
"Illustrates a technique for routing a smooth curve between two points while
avoiding intervening objects. The technique and its related aesthetics were
designed for drawing edges of graphs."

Jim

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From:         Bill Richards <[log in to unmask]>
Organization: INSNA
Subject:      random networks

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

A recent posting asked about generating a random network:

"I would like to generate a random network, with a similar number of nodes and connection to the network I have created from field data, to compare the distance and clustering co-efficient of each. ... My network created from field data has no isolated nodes. However, when I ask Pajek to create a network with the same number of nodes and connections I get plenty of isolates, which apparently will not make a valid clustering co-efficient or distance comparison. ... Can anyone suggest a way of either generating a random network with a specified number of nodes and connections that has no isolates ... ?"

This raises two new question:

Is a "random" network still "random" if every node must have at least one connection to the rest of the network -- in other words, if it must have no isolates, or, perhaps, it must be connected (there must be a path from each node to every other node)?

What does it mean for a network to be "random"?

Duncan Watts gives a very clear presentation of this issue on pages 43 to 68 of his excellent book Six Degrees: the science of a connected age.

Bill

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From:         G Kossinets <[log in to unmask]>
Subject:      Re: random networks
In-Reply-To:  <[log in to unmask]>

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

One can generate random networks conditional on the degree
distribution and the number of components.  That way we
preserve degrees and component sizes but scramble everything
else there might be.  See Maslov, Sneppen and Zaliznyak,
Pattern Detection in Complex Networks: Correlation Profile
of the Internet (2002), http://xxx.lanl.gov/abs/cond-mat/0205379

Basically, we repeatedly pick two non-incident edges (i.e.
those that don't share a vertex) at random and swap two
endpoints, making sure that this (1) does not create
self-loops; (2)  neither it increases the number of
components if we want connected networks.

--
Gueorgi Kossinets

Graduate Fellow, ISERP and
Teaching Fellow, Dept. of Sociology
Columbia University
E-mail: gk297 at columbia.edu
Phone: +1 (212) 854 0367


On Tue, 18 Nov 2003, Bill Richards wrote:

> *****  To join INSNA, visit http://www.sfu.ca/~insna/  *****
>
> A recent posting asked about generating a random network:
>
> "I would like to generate a random network, with a similar
> number of nodes and connection to the network I have
> created from field data, to compare the distance and
> clustering co-efficient of each. ... My network created
> from field data has no isolated nodes. However, when I ask
> Pajek to create a network with the same number of nodes
> and connections I get plenty of isolates, which apparently
> will not make a valid clustering co-efficient or distance
> comparison. ... Can anyone suggest a way of either
> generating a random network with a specified number of
> nodes and connections that has no isolates ... ?"
>
> This raises two new question:
>
> Is a "random" network still "random" if every node must
> have at least one connection to the rest of the network --
> in other words, if it must have no isolates, or, perhaps,
> it must be connected (there must be a path from each node
> to every other node)?
>
> What does it mean for a network to be "random"?
>
> Duncan Watts gives a very clear presentation of this issue
> on pages 43 to 68 of his excellent book Six Degrees: the
> science of a connected age.
>
> Bill
>
> _____________________________________________________________________
> SOCNET is a service of INSNA, the professional association for social
> network researchers (http://www.sfu.ca/~insna/). To unsubscribe, send
> an email message to [log in to unmask] containing the line
> UNSUBSCRIBE SOCNET in the body of the message.
>

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Reply-To:     Carter BUTTS <[log in to unmask]>
Sender:       Social Networks Discussion Forum <[log in to unmask]>
From:         Carter BUTTS <[log in to unmask]>
Subject:      Re: random networks
Comments: To: Bill Richards <[log in to unmask]>
In-Reply-To:  <[log in to unmask]>

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

On Tue, 18 Nov 2003, Bill Richards wrote:

> What does it mean for a network to be "random"?

Generically, any random variable whose support is a set of graphs can be
said to be a "random graph."  The term is sometimes used to refer
specifically to random variables whose distributions are uniform over
the set of possible graphs (generally conditional on the size
of the vertex set or the like), but this is just shorthand....

-Carter

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Message-ID:  <[log in to unmask]>
Date:         Tue, 18 Nov 2003 17:51:14 -0500
Reply-To:     Guy Hagen <[log in to unmask]>
Sender:       Social Networks Discussion Forum <[log in to unmask]>
From:         Guy Hagen <[log in to unmask]>
Subject:      Re: random networks - algorithm
In-Reply-To:  <[log in to unmask]>

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

> This message is in MIME format. Since your mail reader does not understand
this format, some or all of this message may not be legible.

--B_3152022674_4087012
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For general use, I have submitted an algorithm for generating scale-free
random networks as described by Albert-L=E1sl=F3 Barab=E1si in =B3Linked: The New
Science of Networks=B2.

The algorithm is available for download at my open-source network algorithm
repository, at http://innovationinsight.com/combinatorium .

I also encourage anyone else to take this opportunity to share their
algorithms there!

Regards
Guy


On 11/18/03 12:55 PM, "Bill Richards" <[log in to unmask]> wrote:

> *****  To join INSNA, visit http://www.sfu.ca/~insna/  *****
>=20
> A recent posting asked about generating a random network:
>=20
> "I would like to generate a random network, with a similar number of node=
s and
> connection to the network I have created from field data, to compare the
> distance and clustering co-efficient of each. ... My network created from
> field data has no isolated nodes. However, when I ask Pajek to create a
> network with the same number of nodes and connections I get plenty of
> isolates, which apparently will not make a valid clustering co-efficient =
or
> distance comparison. ... Can anyone suggest a way of either generating a
> random network with a specified number of nodes and connections that has =
no
> isolates ... ?"
>=20
> This raises two new question:
>=20
> Is a "random" network still "random" if every node must have at least one
> connection to the rest of the network -- in other words, if it must have =
no
> isolates, or, perhaps, it must be connected (there must be a path from ea=
ch
> node to every other node)?
>=20
> What does it mean for a network to be "random"?
>=20
> Duncan Watts gives a very clear presentation of this issue on pages 43 to=
 68
> of his excellent book Six Degrees: the science of a connected age.
>=20
> Bill


--B_3152022674_4087012
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adr;type=work;type=pref:;;27810 Sky Lake Circle;Wesley
 Chapel;Florida;33543;USA
label;type=work;type=pref:27810 Sky Lake Circle\nWesley Chapel\, Florida
 33543\nUSA
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tel;type=work;type=fax:813.354.2341
tel;type=cell:813.997.2111
email;type=internet;type=pref:[log in to unmask]
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--B_3152022674_4087012--

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Reply-To:     Ulrik Brandes <[log in to unmask]>
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From:         Ulrik Brandes <[log in to unmask]>
Subject:      Re: random networks - algorithm
Comments: To: Guy Hagen <[log in to unmask]>
In-Reply-To:  <[log in to unmask]>

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

On Tue, Nov 18, 2003 at 05:51:14PM -0500, Guy Hagen wrote:
> I also encourage anyone else to take this opportunity to share their
> algorithms there!

Vlado Batagelj and myself have come up with efficient
(time and space optimal) algorithms for generating
graphs according to a variety of random graph models.
Most of them, I believe, are available in Pajek.

Best, B.

--
Prof. Dr. Ulrik Brandes
Department of Computer &      | +49 7531 88 4433 (phone)
Information Science, Box D 67 | +49 7531 88 3577 (fax)
University of Konstanz        | [log in to unmask]
78457 Konstanz, Germany       | http://www.inf.uni-konstanz.de/~brandes/

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Reply-To:     David Lusseau <[log in to unmask]>
Sender:       Social Networks Discussion Forum <[log in to unmask]>
From:         David Lusseau <[log in to unmask]>
Organization: University of Aberdeen
Subject:      Re: Random network generation

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

The fact that the random networks are composed of many isolates is an
interesting fact in itself. If re-iterated many times, one could get the
likelihood that, given the number of nodes and links observed in the
real-world network, all nodes are connected in one giant cluster. If it is
unlikely (observed once or twice over 100-1000 re-iterations or whatever
level of significance one wants to choose) this tells us a lot about the
real-world network: it is most likely not based on a random attachment
mechanism.

best,
david


David Lusseau
Postdoctoral fellow

University of Aberdeen
Department of Zoology
Lighthouse Field Station
George St
Cromarty
Ross-shire IV11 8YJ
Scotland

Tel/Fax: 44 (0) 1381 600 548

Lighthouse Field Station (University of Aberdeen):
http://www.abdn.ac.uk/~nhi519/lighthse/index.hti

New Zealand Whale and Dolphin Trust:
http://nzwhaledolphintrust.tripod.com/home/

Marine Mammal Research Group (University of Otago):
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Fiordland Research (University of Otago)
http://www.otago.ac.nz/marinescience/fiords/home.htm

----- Original Message -----
From: "Vaughan" <[log in to unmask]>
To: <[log in to unmask]>
Sent: Tuesday, November 18, 2003 11:03 AM
Subject: Random network generation


> *****  To join INSNA, visit http://www.sfu.ca/~insna/  *****
>
> Hello everyone,
>
> I would like to generate a random network, with a similar number of ndoes
> and connection to the network I have created from field data, to compare
the
> distance and clustering co-efficient of each. Not unlike the the method in
> http://arxiv.org/pdf/cond-mat/0307439
>
> My network created from field data has no isolated nodes. However, when I
> ask Pajek to create a network with the same number of nodes and
connections
> I get plenty of isolates, which apparently will not make a valid
clustering
> co-efficient or distance comparison.
>
> Andrew Shipilov kindly suggested to my that it is possible to generate
> distance and clustering coefficients purely from knowing the number of
nodes
> and connections I wish to use, although I am having trouble tracking down
> this method.
>
> Can anyone suggest a way of either generating a random network with a
> specified number of nodes and connections that has no isolates or doing
the
> above calculation ?
>
> Many thanks,
> Vaughan Bell
>
> _____________________________________________________________________
> SOCNET is a service of INSNA, the professional association for social
> network researchers (http://www.sfu.ca/~insna/). To unsubscribe, send
> an email message to [log in to unmask] containing the line
> UNSUBSCRIBE SOCNET in the body of the message.

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Date:         Wed, 19 Nov 2003 13:04:47 +0100
Reply-To:     Carl Nordlund <[log in to unmask]>
Sender:       Social Networks Discussion Forum <[log in to unmask]>
From:         Carl Nordlund <[log in to unmask]>
Subject:      SV: Lombardi edges
In-Reply-To:  <[log in to unmask]>

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

> We could have pseudo-Lombardi edges--curved in some fashion rather
> than dead straight.

If anyone could point me to an URL where such curved "Lombardi-egdes"
are shown, I would appreciate it very much! (Sorry if that already has
been posted - I have missed some postings on SocNet)

Yours,
Carl
---
Carl Nordlund, MA, PhD student
Human Ecology Division, Lund university
www.humecol.lu.se
carl.nordlund(at)humecol.lu.se

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Subject:      Re: Random networks
Comments: To: David Lusseau <[log in to unmask]>
In-Reply-To:  <017a01c3ae84$c5d67c30$3801010a@Wilma>

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Given the interest in random nets, FWIW, I provide an early sociological
account of random and clustered networks in my

"Structural Analysis: From Method and Metaphor to Theory and Substance."
Pp. 19-61 in Social Structures: A Network Approach, edited by Barry
Wellman and S.D. Berkowitz. Cambridge: Cambridge University Press, 1988.

A scanned version is on my website.
 Barry
 _____________________________________________________________________

  Barry Wellman         Professor of Sociology        NetLab Director
  wellman at chass.utoronto.ca  http://www.chass.utoronto.ca/~wellman

  Centre for Urban & Community Studies          University of Toronto
  455 Spadina Avenue    Toronto Canada M5S 2G8    fax:+1-416-978-7162
             To network is to live; to live is to network
 _____________________________________________________________________

On Wed, 19 Nov 2003, David Lusseau wrote:

> Date: Wed, 19 Nov 2003 10:06:16 -0000
> From: David Lusseau <[log in to unmask]>
> To: [log in to unmask]
> Subject: Re: Random network generation
>
> *****  To join INSNA, visit http://www.sfu.ca/~insna/  *****
>
> The fact that the random networks are composed of many isolates is an
> interesting fact in itself. If re-iterated many times, one could get the
> likelihood that, given the number of nodes and links observed in the
> real-world network, all nodes are connected in one giant cluster. If it is
> unlikely (observed once or twice over 100-1000 re-iterations or whatever
> level of significance one wants to choose) this tells us a lot about the
> real-world network: it is most likely not based on a random attachment
> mechanism.
>
> best,
> david
>
>
> David Lusseau
> Postdoctoral fellow
>
> University of Aberdeen
> Department of Zoology
> Lighthouse Field Station
> George St
> Cromarty
> Ross-shire IV11 8YJ
> Scotland
>
> Tel/Fax: 44 (0) 1381 600 548
>
> Lighthouse Field Station (University of Aberdeen):
> http://www.abdn.ac.uk/~nhi519/lighthse/index.hti
>
> New Zealand Whale and Dolphin Trust:
> http://nzwhaledolphintrust.tripod.com/home/
>
> Marine Mammal Research Group (University of Otago):
> http://www.otago.ac.nz/marinescience/mammals/home.htm
>
> Fiordland Research (University of Otago)
> http://www.otago.ac.nz/marinescience/fiords/home.htm
>
> ----- Original Message -----
> From: "Vaughan" <[log in to unmask]>
> To: <[log in to unmask]>
> Sent: Tuesday, November 18, 2003 11:03 AM
> Subject: Random network generation
>
>
> > *****  To join INSNA, visit http://www.sfu.ca/~insna/  *****
> >
> > Hello everyone,
> >
> > I would like to generate a random network, with a similar number of ndoes
> > and connection to the network I have created from field data, to compare
> the
> > distance and clustering co-efficient of each. Not unlike the the method in
> > http://arxiv.org/pdf/cond-mat/0307439
> >
> > My network created from field data has no isolated nodes. However, when I
> > ask Pajek to create a network with the same number of nodes and
> connections
> > I get plenty of isolates, which apparently will not make a valid
> clustering
> > co-efficient or distance comparison.
> >
> > Andrew Shipilov kindly suggested to my that it is possible to generate
> > distance and clustering coefficients purely from knowing the number of
> nodes
> > and connections I wish to use, although I am having trouble tracking down
> > this method.
> >
> > Can anyone suggest a way of either generating a random network with a
> > specified number of nodes and connections that has no isolates or doing
> the
> > above calculation ?
> >
> > Many thanks,
> > Vaughan Bell
> >
> > _____________________________________________________________________
> > SOCNET is a service of INSNA, the professional association for social
> > network researchers (http://www.sfu.ca/~insna/). To unsubscribe, send
> > an email message to [log in to unmask] containing the line
> > UNSUBSCRIBE SOCNET in the body of the message.
>
> _____________________________________________________________________
> SOCNET is a service of INSNA, the professional association for social
> network researchers (http://www.sfu.ca/~insna/). To unsubscribe, send
> an email message to [log in to unmask] containing the line
> UNSUBSCRIBE SOCNET in the body of the message.
>

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*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

On Wednesday 19 November 2003 05:06 am, David Lusseau wrote:
>
> The fact that the random networks are composed of many isolates is an
> interesting fact in itself. If re-iterated many times, one could get the
> likelihood that, given the number of nodes and links observed in the
> real-world network, all nodes are connected in one giant cluster. If it is
> unlikely (observed once or twice over 100-1000 re-iterations or whatever
> level of significance one wants to choose) this tells us a lot about the
> real-world network: it is most likely not based on a random attachment
> mechanism.


Or one can calculate such things exactly (to order 1/n, where n is the
graph size).  Formulas for such things can be found in this paper:

  http://arxiv.org/abs/cond-mat/0007235/

Mark Newman

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Subject:      Re: Lombardi edges

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Hi All

We are currently working on implementing Bezier Curves in our product
antology when actors are linked for more than one type of relation, as this
is an elegant solution to avoid straight lines overlaying one another. When
a point is used to represent a node rather than a block, there is a very
small area to bind edges to the node, and hence straight lines will always
draw over the top of one another, effectively 'hiding' the fact that
multiple relations exist. We have thought about using composite line styles,
call outs etc in these circumstances, but Bezier Curves give by far the best
result.

If anyone has taken any other approaches, I'd be interested to hear your
views.

However, we think that it will be quite sometime before we see automated
generation of graphs of the beauty Lombardi produced by hand from his data -
unless anyone knows any different of course!

Perry Dyball
CakeHouse Systems

T.      +44 (0)207 917 1829
M.      +44 (0)780 329 3630
F.      +44 (0)870 052 3440
E.      mailto:[log in to unmask]
A.      212 Piccadilly, London W1J 9HG
W.      http://www.cakehouse.co.uk

-----Original Message-----
From: Jim W Lai [mailto:[log in to unmask]]
Sent: 18 November 2003 17:23
To: [log in to unmask]
Subject: Re: Lombardi edges


*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

On Mon, 17 Nov 2003, Peter Simon wrote:
> We could have pseudo-Lombardi edges--curved in some fashion rather than
dead
> straight.

Splines have been extensively studied and used in the computer graphics
field.
That would be my recommendation for a starting point, as it were.

For instance, Google also turned up this fairly quickly.
http://www.research.att.com/areas/visualization/papers_videos/ofullindex.htm
l
"Path Router (MPG - 4.3 MB)
"Illustrates a technique for routing a smooth curve between two points while
avoiding intervening objects. The technique and its related aesthetics were
designed for drawing edges of graphs."

Jim

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Subject:      Re: Lombardi edges

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

It wouldn't be difficult to design an algorithm that would allow us to drag
edges to the desired radii of curvature, once the ends are anchored.  Even
Excel offers nearly this with ovals, of which its circle is merely a special
case.

Peter

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Subject:      Anthropology Association Honors Russ Bernard for Career
              Achievement

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Thanks to Keith Hampton for passing this on.

And major kudos to Russ Bernard (and Carole) for getting what he deserves!

 Barry
 _____________________________________________________________________

  Barry Wellman         Professor of Sociology        NetLab Director
  wellman at chass.utoronto.ca  http://www.chass.utoronto.ca/~wellman

  Centre for Urban & Community Studies          University of Toronto
  455 Spadina Avenue    Toronto Canada M5S 2G8    fax:+1-416-978-7162
             To network is to live; to live is to network
 _____________________________________________________________________
http://chronicle.com/daily/2003/11/2003111904n.htm

              - The text of the article is below -
_________________________________________________________________

  Wednesday, November 19, 2003

  Anthropology Association Honors 3 Professors for Career
  Achievements
  Three professors will be honored for their career achievements
  at the annual meeting of the American Anthropological
  Association, this week in Chicago.

  The honorees are:

  H. Russell Bernard, a professor of anthropology at the
  University of Florida, who will receive the Franz Boas award
  for exemplary service to anthropology. During his nearly 40
  years of service to the field, his books on research methods
  in anthropology have become standard references.

 [plus Margaret Lock + Russell Tuttle]

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Subject:      steve berkowitz memorial
Comments: cc: [log in to unmask]

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

The University of Vermont is having a memorial gathering this Monday for
our late network colleague, Steve Berkowitz. It's at the Ira Allan Chapel
on the Burlington campus, 1:30-3:3:30.

If, like me, you can't go, perhaps you'd like to write something. There
are two ways of doing that:

1. Send your writing directly to the organizer, Garrison Nelson:
[log in to unmask]

2. Send a sentence to two paragraphs to me by Thursday morning (that's
tomorrow for most of you), and I will do my best to incorporate it into my
memorial piece.

 Barry
 _____________________________________________________________________

  Barry Wellman         Professor of Sociology        NetLab Director
  wellman at chass.utoronto.ca  http://www.chass.utoronto.ca/~wellman

  Centre for Urban & Community Studies          University of Toronto
  455 Spadina Avenue    Toronto Canada M5S 2G8    fax:+1-416-978-7162
             To network is to live; to live is to network
 _____________________________________________________________________

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Subject:      Re: Lombardi edges
Comments: To: Perry Dyball <[log in to unmask]>
In-Reply-To:  <[log in to unmask]>

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

We have had Bezier curves in KrackPlot for years.  It is definitely a good
way to go for flexibly making curves around all kinds of objects.  The one
disadvantage is that you have to make the curves yourself - there is no
simulated annealing, spring embedder, or MDS function that will do it for
you.  You make curves on the screen by dragging the bezier points around
until the curve looks good.  In KrackPlot, you have two bezier points for
each line, allowing you to create complex curves.  It is fairly easy to do,
but it is time consuming if you want a lot of curves, like Lombardi has.

-David

--On Wednesday, November 19, 2003 2:31 PM +0000 Perry Dyball
<[log in to unmask]> wrote:

> *****  To join INSNA, visit http://www.sfu.ca/~insna/  *****
>
> Hi All
>
> We are currently working on implementing Bezier Curves in our product
> antology when actors are linked for more than one type of relation, as
> this is an elegant solution to avoid straight lines overlaying one
> another. When a point is used to represent a node rather than a block,
> there is a very small area to bind edges to the node, and hence straight
> lines will always draw over the top of one another, effectively 'hiding'
> the fact that multiple relations exist. We have thought about using
> composite line styles, call outs etc in these circumstances, but Bezier
> Curves give by far the best result.
>
> If anyone has taken any other approaches, I'd be interested to hear your
> views.
>
> However, we think that it will be quite sometime before we see automated
> generation of graphs of the beauty Lombardi produced by hand from his
> data - unless anyone knows any different of course!
>
> Perry Dyball
> CakeHouse Systems
>
> T.      +44 (0)207 917 1829
> M.      +44 (0)780 329 3630
> F.      +44 (0)870 052 3440
> E.      mailto:[log in to unmask]
> A.      212 Piccadilly, London W1J 9HG
> W.      http://www.cakehouse.co.uk
>
> -----Original Message-----
> From: Jim W Lai [mailto:[log in to unmask]]
> Sent: 18 November 2003 17:23
> To: [log in to unmask]
> Subject: Re: Lombardi edges
>
>
> *****  To join INSNA, visit http://www.sfu.ca/~insna/  *****
>
> On Mon, 17 Nov 2003, Peter Simon wrote:
>> We could have pseudo-Lombardi edges--curved in some fashion rather than
> dead
>> straight.
>
> Splines have been extensively studied and used in the computer graphics
> field.
> That would be my recommendation for a starting point, as it were.
>
> For instance, Google also turned up this fairly quickly.
> http://www.research.att.com/areas/visualization/papers_videos/ofullindex.
> htm l
> "Path Router (MPG - 4.3 MB)
> "Illustrates a technique for routing a smooth curve between two points
> while avoiding intervening objects. The technique and its related
> aesthetics were designed for drawing edges of graphs."
>
> Jim
>
> _____________________________________________________________________
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>



------------------------------
David Krackhardt, Professor of Organizations, Editor of JoSS
Carnegie Mellon University
http://www.andrew.cmu.edu/~krack
JoSS: <http://www2.heinz.cmu.edu/project/INSNA/joss/>
           (Erdos#=2)

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"I like to unsubscribe [log in to unmask] with my current e-mail account and subscribe with different account. Would you please let me know how to do this process? Thank you very much!!"



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              offline
Comments: To: communication and information technology section asa
          <[log in to unmask]>, aoir list <[log in to unmask]>

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Journal of the American Society for Information Science and Technology
vol 55, #2, Jan 2004

"Does Citation Reflect Social Structure? Longitudinal Evidence From the
'Globenet' Interdisciplinary Research Group'

Howard D. White, Barry Wellman, and Nancy Nazer
Published online 13 November 2003   pp. 111-126

White, Wellman, and Nazer investigate the inter-citation patterns of the
16 international interdisciplinary members of a research group established
in 1993 to study human development with the hope of determining whether
citation is based on whom those who cite know, or upon what they know,
i.e., whether the patterns are social or intellectual in structure.  The
members of the group are acquainted and the study of the 240 possible
pairs indicates that half collaborate and read each other's work, and 74%
consider themselves friends or colleagues. Inter-citation patterns were
studied prior to 1989, from 1989 to 1992, 1993 to 1996, and 1997 to 2000.
Co-citation is shown to predict inter- citation; one cites those with whom
one is co-cited. As members became better acquainted, citation of one
another increased. Inter-citation was not randomly distributed with a core
group of 12 pairs predominating. Friends cited friends more than
acquaintances, and inter-citers communicated more than non-inter- citers.
However, intellectual affinity, as shown by co-citation, rather than
social ties, leads to inter-citation.

 _____________________________________________________________________

  Barry Wellman         Professor of Sociology        NetLab Director
  wellman at chass.utoronto.ca  http://www.chass.utoronto.ca/~wellman

  Centre for Urban & Community Studies          University of Toronto
  455 Spadina Avenue    Toronto Canada M5S 2G8    fax:+1-416-978-7162
             To network is to live; to live is to network
 _____________________________________________________________________

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From:         Giovanni Roberto Ruffini <[log in to unmask]>
Subject:      Clustering Coefficients & 2-Mode Networks

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

I apologize if this is a hopelessly vague question. I am having a rather
hard time articulating it, and know that I have tried to do so with some
of you unsuccessfully in the past.

I am exploring the utility of the concept of clustering coefficients in
analyzing the social connections of an ancient Egyptian village. But the
connections I am working with are ones I have derived by running an
affiliations function on a two-mode network, thus turning indirect
connections (person->legal document->second person) into direct ones.

I would like to use the (exceptionally high) clustering coefficient of
this derived one-mode network to tell me something about the extent to
which this village was ordered at the group level, by guild, by
peer-group, etc. But it starts to occur to me that I cannot escape the
distorting lense of the (now removed) texts linking person 1 to person 2.
In other words, isn't the clustering coefficient in this case nothing but
a measure of how much the names in each text overlap? So, in that sense,
it tells us nothing about the society's structure itself, and everything
about the clustering of the evidence for it.

Am I understanding this correctly? Should I despair? Or is the clustering
coefficient still an interesting number, even in light of this distorting
problem? If so, how?

I have looked at Watts _JAS_ 1999 fruitfully, although I am alarmed at
the prospect of calling my Egyptians connected cavemen! :) What I think I
need next is a way to be sure I'm understanding what I've read, and can
put it in appropriately concrete (social, textual, methodological) terms.

Thanks for your thoughts!

Giovanni Ruffini

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*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Do any of the commonly used SNA programs have an algorithm that tests
for preferential attachment?  Any help/advice would be appreciated. =20
=20
Thanks,
Brian Carolan
Columbia University

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From:         "T.A.B.SNIJDERS" <[log in to unmask]>
Subject:      Re: Preferential Attachment in SIENA
Comments: To: [log in to unmask]

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Hi,

In the SIENA model for network dynamics, applicable to longitudinal (panel-type) directed network data on a fixed (or slightly changing) set of nodes, not more than a few 100 nodes, one of the many included effects is the popularity or in-degree effect, expressing that nodes with a high indegree are more popular.
SIENA can be found at
http://stat.gamma.rug.nl/stocnet/

Cheerio,
Tom



-----Original Message-----
From: "Carolan, Brian" <[log in to unmask]>
To: [log in to unmask]
Date: Thu, 20 Nov 2003 11:46:20 -0500
Subject: Preferential Attachment

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Do any of the commonly used SNA programs have an algorithm that tests
for preferential attachment?  Any help/advice would be appreciated.

Thanks,
Brian Carolan
Columbia University

_____________________________________________________________________
SOCNET is a service of INSNA, the professional association for social
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Tom A.B. Snijders
ICS / Dept. of Sociology
University of Groningen
Grote Rozenstraat 31
9712 GC Groningen
tel. +31-(0)50-3636188 (6469)
http://stat.gamma.rug.nl/snijders/

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From:         "T.A.B.SNIJDERS" <[log in to unmask]>
Subject:      Re: Random networks

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Hi all,

"Random networks" really is too big a topic for email list discussions.

Two programs in the software Stocnet available from

http://stat.gamma.rug.nl/stocnet/

can be used to generate random networks according to some specific random graph distributions:

ZO for graphs with given degrees and directed graphs with given in-degrees and out-degrees, if desired also with given number of mutuals;

SIENA for exponential random graphs with a variety of specifications; and for generating random repeated observations of networks developing according to actor-oriented models with given initial network observation - also according to a variety of specifications.

Best,

Tom


Tom A.B. Snijders
ICS / Dept. of Sociology
University of Groningen
Grote Rozenstraat 31
9712 GC Groningen
tel. +31-(0)50-3636188 (6469)
http://stat.gamma.rug.nl/snijders/

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Subject:      compartments/subgroups in foodwebs -- network article in Nature
Comments: cc: akrause <[log in to unmask]>, Marc Gaden <[log in to unmask]>

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

People on this list may be interested in
Krause, A.E., K.A. Frank, D.M. Mason, R.E. Ulanowicz, and W.W.
Taylor.  2003. Compartments revealed in food-web structure. Nature 426:282-285

-- the current issue of Nature.

In the paper we identify cohesive subgroups in food webs, with implications
for how ecosystems might react to invading species.


The press release for the article is below






NEW STUDY REVEALS EXISTENCE OF COMPARTMENTS LIKE SOCIAL CLIQUES IN NATURAL
FOOD WEBS

Innovative research published this week in the journal Nature

A new study, published this week in the journal Nature, has revealed the
existence of what in human interactions would be referred to as "cliques"
in natural food webs.  This research examined what ecologists have
previously theorized: that plants and animals organize themselves into
cliques, just as humans do. These cliques, also known as compartments, are
groups of species in a food-web that interact more frequently with each
other than with species outside of that compartment.  Strong interactions
exist among species within compartments and weaker interactions exist
between individual compartments.  This research contributes to a more
sophisticated understanding of food web dynamics by illustrating how
species interact and, thus, how they impact each other.  This better
understanding of food webs will help natural resource managers make better
management decisions that affect food webs.

Food webs are multiple interconnecting food chains. Predators are likely to
have more than one prey and prey are likely to have more than one predator,
thereby creating a web of interactions, not a chain. A common approach of
understanding how species interact in food webs is to categorize them into
trophic -- or hierarchical --levels, where groups of species with similar
food resources and predators are associated with each other.  The trophic
level concept alone, however, provides an incomplete understanding of
food-webs, because it only provides one view of the picture; it looks at
which species are competitors, but not at the other associations species
make in the food web.  For example, in economics, people's purchasing
decisions are not solely influenced by the decisions made by their
neighbors, who are likely in the same economic bracket (or same
hierarchical level).  Rather, people are also influenced by their friends,
who may be in another economic bracket, but in a same clique or compartment.

The discovery of compartments within food webs provides a more advanced
understanding of species interactions with each other in the
environment.  The research, published this week in Nature,applies
principles for describing social systems to food webs--an exciting new way
to view food web structures and to identify compartments in food-webs.  The
scientists employed a recently developed social network method.  "It has
been proposed that social systems are more efficient and durable when
composed of subgroups in which interactions are concentrated," said Dr. Ken
Frank of Michigan State University and member of the research team. "This
appears also to be the case for food-web compartments in ecology, and this
method identifies compartments in which interactions are concentrated."Dr.
William Taylor of Michigan State University and a member of the research
team added: This study highlights the importance and necessity of
interdisciplinary science and problem solving.

A simple illustration of the trophic and compartment concepts is to
consider state governments. The trophic level model would put the US
governors in a category, the state representatives in another category, and
the people in a third category.  The compartment model, however, groups
people by state, so a state would be one compartment, with a governor, the
representatives, and people having strong interactions with each other, and
weaker interactions with other compartments, the other states.

"The compartment method of measuring species interactions in an ecosystem
has its benefits," said Ann Krause of Michigan State University, a member
of the research team.  "This method is more systematic and rigorous, as it
assigns species to certain compartments based on observed research -- not
based on a researcher's guess -- and tests the results for
significance.  Moreover, if compartments can be found to enhance stability
in nature like they were found to do in theoretical research, we now have
another tool with which to better understand stability in
ecosystems.  Stability is important for maintaining ecosystem health.

"This study will provide a mechanism for others to study and measure the
stability of food-webs," added Dr. Doran Mason of the Great Lakes
Environmental Research Laboratory, a member of the research
team.  "Understanding food web stability significantly enhances our
understanding of ecosystems which, of course, helps biologists and managers
in their efforts to protect and improve the system.  With future
applications based on this research, we may find that managers should also
focus on maintaining compartments in food webs, which are whole groups of
species, not just maintaining the population of a single species, to
maintain ecosystem health and integrity."

This research is a collaborative among scientists Ann E. Krause, Kenneth A.
Frank, and William W. Taylor from Michigan State University's Department of
Fisheries & Wildlife; Robert E. Ulanowicz from the University of Maryland;
and Doran M. Mason of the National Oceanic and Atmospheric Administration's
Great Lakes Environmental Research Laboratory.  This research was funded by
the Great Lakes Fishery Commission, the National Institute of Child Health
and Human Development, and the National Science Foundation. Contact
information for members of the research team is as follows:

Krause: (734) 662-3209 x.21 ([log in to unmask])

Frank: (512) 475-8642 ([log in to unmask])

Taylor: (517) 353-3048 ([log in to unmask])

Ulanowicz: (410) 326-7266 ([log in to unmask])

Mason: (734) 741-2148 ([log in to unmask])


Public relations coordinated by
1300 EST, NOV. 19, 2003 Marc Gaden, Great Lakes Fishery Commission,
734-662-3209 x. 14

      Patricia Stewart, Michigan State University, 517-355-1821

       Jana Goldman, Nat. Oceanic and Atmos. Admin., 301-713-2483


----------------------------------------------------------------------------------




Those interested in work in social networks and ecosystems might also check
out work by Jeffrey Johnson and Steve Borgatti

Johnson, J. C., Borgatti, S. P., Luczkovich. J. J., & Everett, M.
G.  Network role analysis in the study of food webs:  an application of
regular role coloration.  J. Soc. Structure 2:  published online at
http://zeeb.library.cmu.edu:7850/JoSS/johnson/RoleAnalysis.html (2001)  --
Johnson's home page
  http://personal.ecu.edu/johnsonje/foodwebs.htm

And also

Girvan, M. and Newman, M. E. J. Community structure in social and
biological networks.  Proc. Natl. Acad. Sci. USA 99, 8271-8276 (2002).






Ken Frank
Population Research Center
The University of Texas at Austin
1 University Station G1800
Austin, Texas 78712-0544
http://www.msu.edu/~kenfrank/

e-mail: [log in to unmask]
phone: 512-475-8642
Fax: (512) 471-4886


Note I am on leave from Michigan State
where I am a professor in Education and
Fisheries and Wildlife

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Date:         Fri, 21 Nov 2003 18:44:38 +0100
Reply-To:     Bettina Hoser <[log in to unmask]>
Sender:       Social Networks Discussion Forum <[log in to unmask]>
From:         Bettina Hoser <[log in to unmask]>
Subject:      Fwd: Winter school  Physics of socio-economic systems

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Dear SOCNETTERS

I apologize for cross-posting, but this might be intersting for some of you:
This winterschool also covers lectures on social networks (day 3).

If you need more information feel free to ask!
Best regards
Bettina


Dipl.-Phys.Bettina Hoser
University of Karlsruhe
Germany

http://www.em.uni-karlsruhe.de


----- Forwarded message from Frank Schweitzer <[log in to unmask]> -----



        Please distribute! We apologize for multiple postings!
_______________________________________________________________________

                  FIRST INTERNATIONAL WINTER SCHOOL
                  PHYSICS OF SOCIO-ECONOMIC SYSTEMS
           http://www.uni-konstanz.de/zwn/winterschool2004

               15.2. (Arrival) - 22.2.2004 (Departure)
                   University of Konstanz, Germany

The five-day winter school presents the following topics of the
"Physics of Socio-economic Systems" in compact one-day segments:

Day 1: Financial markets and risk management,
Day 2: Economic growth and dynamics of companies,
Day 3: Social and economic networks,
Day 4: Urban systems and traffic dynamics,
Day 5: Social multi-agent systems and decision dynamics.
Day 6: Is reserved for a possible excursion.

LECTURES: given by internationally recognized scientists from physics,
economics and the social sciences.

PARTICIPATION: graduate students and young scientists (including PhD
students and post-docs) from physics, sociology, computer sciences,
demography, philosophy, political science, economics (...) who are
interested in applications of methods and tools from statistical
physics to social and economic problems

(No) FEES: Thanks to the financial support by the Center for Junior
Research Fellows of the University of Konstanz, there is NO FEE for
participating in the international winter school. Also, the costs for
accomodation will be covered. But participants are requested to cover
their costs for travel and and boarding.

APPLICATION: The total number of participants is limited to 40
persons. Further, a stay for the whole 5- days course is required.
You can apply for participation in the conference -ONLY- by using our
Application Form at:
           http://www.uni-konstanz.de/zwn/winterschool2004
The deadline for applications is December 31, 2003.

FURTHER INFORMATION on Aims and Scope, Program, Invited Speakers,
 Venue/Schedule and Participation can be found at
           http://www.uni-konstanz.de/zwn/winterschool2004

SCIENTIFIC ORGANIZATION:
Priv.-Doz. Dr. Dr. Frank Schweitzer
e-mail: [log in to unmask]
www: http://www.ais.fraunhofer.de/~frank/

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Sender:       Social Networks Discussion Forum <[log in to unmask]>
From:         Matej Cepl <[log in to unmask]>
Organization: Northeastern University -- Law, Policy, & Society
Subject:      Social capital and social networks?

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Hi,

sorry for a slightly (hopefully, just slightly) off-topic
question from a totall clueless newbie in the social network
world (who is not even sure, how long he wants to stay :-):

        How does phenomenon of social capital fits into the study of
        social networks? What are the similarities, what are the
        differences? Can you suggest some good (and brief :-) literature
        on this issue?

Thanks a lot,

        Matej

--
Matej Cepl, http://www.ceplovi.cz/matej
GPG Finger: 89EF 4BC6 288A BF43 1BAB  25C3 E09F EF25 D964 84AC
138 Highland Ave. #10, Somerville, Ma 02143, (617) 623-1488

He has no enemies, but is intensely disliked by his friends.
      -- Oscar Wilde

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Sender:       Social Networks Discussion Forum <[log in to unmask]>
From:         Valdis Krebs <[log in to unmask]>
Subject:      Re: Social capital and social networks?
Comments: To: Matej Cepl <[log in to unmask]>
In-Reply-To:  <[log in to unmask]> from Matej Cepl
              <[log in to unmask]> on Fri, 21 Nov 2003 05:19:29 -0500

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

It is amazing how smart people on this list do not know how to use Google!

http://www.google.com/search?hl=en&ie=UTF-8&oe=UTF-8&q=social+capital+network

Read the first PDF Google finds.  Next, look up PageRank on Google to know why the first PDF Google found is a good suggestion.

Valdis



---- Matej Cepl <[log in to unmask]> wrote:
> *****  To join INSNA, visit http://www.sfu.ca/~insna/  *****
>
>         How does phenomenon of social capital fits into the study of
>         social networks? What are the similarities, what are the
>         differences? Can you suggest some good (and brief :-) literature
>         on this issue?

_____________________________________________________________________
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Reply-To:     Jun Zhang <[log in to unmask]>
Sender:       Social Networks Discussion Forum <[log in to unmask]>
From:         Jun Zhang <[log in to unmask]>
Subject:      Re: Social capital and social networks?
Comments: To: [log in to unmask]

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

 Valdis,
I don't agree with you. Even Google can usually give us good results, I
still think the best resource for social network knowledge is "SOCNET" email
list -- which NETWORKED most of well known social network
researchers...that's also how we increase the social capital of SOCNET,
isn't it (If I don't misunderstand the meaning of social capital).

Of course, there will be a lot of negative issues we need to address, such
as "elite members" might want to quit because of they are tired of answering
too much simple questions. However, helping new comers who just start their
research on SNA is also one purpose of this list and many old members are
happy to do that, isn't it?

Actually, one topic I always interesting in is that how we could use Social
Network to help people share/find information. For people in academic,
sometimes it is really important to find the right people who do related
research in this area instead of a pdf file URL from Google. From the author
of PDF to find that person is one solution, finding that people directly
from something like "SOCNET" is another. While Google is good at 1st. SOCNET
is good at 2nd.

So, while some people already complained that we rely too much on Google
these days, should we kill the 2nd options - which is emphasis the
importance of "Social Network" ourselves?

Just my 2 cents,



Best Regards,


Jun


----- Original Message -----
From: "Valdis Krebs" <[log in to unmask]>
To: <[log in to unmask]>
Sent: Friday, November 21, 2003 2:02 PM
Subject: Re: Social capital and social networks?


> *****  To join INSNA, visit http://www.sfu.ca/~insna/  *****
>
> It is amazing how smart people on this list do not know how to use Google!
>
>
http://www.google.com/search?hl=en&ie=UTF-8&oe=UTF-8&q=social+capital+networ
k
>
> Read the first PDF Google finds.  Next, look up PageRank on Google to know
why the first PDF Google found is a good suggestion.
>
> Valdis
>
>
>
> ---- Matej Cepl <[log in to unmask]> wrote:
> > *****  To join INSNA, visit http://www.sfu.ca/~insna/  *****
> >
> >         How does phenomenon of social capital fits into the study of
> >         social networks? What are the similarities, what are the
> >         differences? Can you suggest some good (and brief :-) literature
> >         on this issue?
>
> _____________________________________________________________________
> SOCNET is a service of INSNA, the professional association for social
> network researchers (http://www.sfu.ca/~insna/). To unsubscribe, send
> an email message to [log in to unmask] containing the line
> UNSUBSCRIBE SOCNET in the body of the message.
>
>

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Sender:       Social Networks Discussion Forum <[log in to unmask]>
From:         Valdis Krebs <[log in to unmask]>
Subject:      Re: Social capital and social networks?
Comments: To: Jun Zhang <[log in to unmask]>
In-Reply-To:  <[log in to unmask]> from Jun Zhang
              <[log in to unmask]> on Fri, 21 Nov 2003 15:32:25 -0500

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

I think most people enjoy helping others who help themselves... I know I do.  A question like "I am interested in X, and have already read A, B, and C -- what else is recommended?"  would bring many positive responses from members of this list.

Another great source for network newbies is the INSNA web site.  Bill Richards has set up some great pages of links [by topic].  Guess what?  He even has a page of SocCap links!
-- http://www.sfu.ca/~insna/INSNA/Hot/soc_cap.htm

I enjoy answering beginner's questions, as do others on this list, I just don't like 'lazy questions'.

Valdis





---- Jun Zhang <[log in to unmask]> wrote:
> *****  To join INSNA, visit http://www.sfu.ca/~insna/  *****
>
>  Valdis,
> I don't agree with you. Even Google can usually give us good results, I
> still think the best resource for social network knowledge is "SOCNET" email
> list -- which NETWORKED most of well known social network
> researchers...that's also how we increase the social capital of SOCNET,
> isn't it (If I don't misunderstand the meaning of social capital).
>
> Of course, there will be a lot of negative issues we need to address, such
> as "elite members" might want to quit because of they are tired of answering
> too much simple questions. However, helping new comers who just start their
> research on SNA is also one purpose of this list and many old members are
> happy to do that, isn't it?
>
> Actually, one topic I always interesting in is that how we could use Social
> Network to help people share/find information. For people in academic,
> sometimes it is really important to find the right people who do related
> research in this area instead of a pdf file URL from Google. From the author
> of PDF to find that person is one solution, finding that people directly
> from something like "SOCNET" is another. While Google is good at 1st. SOCNET
> is good at 2nd.
>
> So, while some people already complained that we rely too much on Google
> these days, should we kill the 2nd options - which is emphasis the
> importance of "Social Network" ourselves?
>
> Just my 2 cents,
>
>
>
> Best Regards,
>
>
> Jun
>
>
> ----- Original Message -----
> From: "Valdis Krebs" <[log in to unmask]>
> To: <[log in to unmask]>
> Sent: Friday, November 21, 2003 2:02 PM
> Subject: Re: Social capital and social networks?
>
>
> > *****  To join INSNA, visit http://www.sfu.ca/~insna/  *****
> >
> > It is amazing how smart people on this list do not know how to use Google!
> >
> >
> http://www.google.com/search?hl=en&ie=UTF-8&oe=UTF-8&q=social+capital+networ
> k
> >
> > Read the first PDF Google finds.  Next, look up PageRank on Google to know
> why the first PDF Google found is a good suggestion.
> >
> > Valdis
> >
> >
> >
> > ---- Matej Cepl <[log in to unmask]> wrote:
> > > *****  To join INSNA, visit http://www.sfu.ca/~insna/  *****
> > >
> > >         How does phenomenon of social capital fits into the study of
> > >         social networks? What are the similarities, what are the
> > >         differences? Can you suggest some good (and brief :-) literature
> > >         on this issue?

_____________________________________________________________________
SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.sfu.ca/~insna/). To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.
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Sender:       Social Networks Discussion Forum <[log in to unmask].EDU>
From:         Mike Prescott <[log in to unmask]>
Subject:      Re: Social capital and social networks?

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

I think this wouldn't be an issue if there were some norms of engagement
stated somewhere. I think most people want to adhere to these but for a
newcomer this is difficult to ascertain. At the same time this can also
keep some people silent for a long time(lurking in perpetuity) even if
they may have a potentially valuable contribution to make. Maybe that's
one of the shortcomings of a discussion forum like this that doesn't have
a bigger web site connected to it?

_____________________________________________________________________
SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.sfu.ca/~insna/). To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.
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Message-ID:  <[log in to unmask]>
Date:         Fri, 21 Nov 2003 16:57:59 -0500
Reply-To:     Jun Zhang <[log in to unmask]>
Sender:       Social Networks Discussion Forum <[log in to unmask]>
From:         Jun Zhang <[log in to unmask]>
Subject:      Re: Social capital and social networks?
Comments: To: [log in to unmask]

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Valids,
Nothing personal here. Actually, from the past emails, I knew that you are
one of the most active and willing-to-help person in this list.  But you
know, for a newbie, a right pointer to the right article as
start-learning-point can help them a lot and save them a lot of time.
Actually,  for some of them, they even don't know the Soc web site is the
best site (just my thought) to study social network.  If they are new to
this area, how can they
know that it is the best without surveying a lot of "links" in google.
Google gives answers most of the time, but it still far from telling us
which link is the best answer.
Actually, by confirmed by you and others, that guy can know that Google's
first return and SOC site is a good start point to answer his questions in
ONE day. Should not you happy with that? That's the power of people, that's
the power of why we need build social network to get help.

Above all, sometimes an easy question for an expert is really a difficult
one for newbies.

Thanks,

Jun


----- Original Message -----
From: "Valdis Krebs" <[log in to unmask]>
To: "Jun Zhang" <[log in to unmask]>; <[log in to unmask]>
Sent: Friday, November 21, 2003 4:15 PM
Subject: Re: Social capital and social networks?


> I think most people enjoy helping others who help themselves... I know I
do.  A question like "I am interested in X, and have already read A, B, and
C -- what else is recommended?"  would bring many positive responses from
members of this list.
>
> Another great source for network newbies is the INSNA web site.  Bill
Richards has set up some great pages of links [by topic].  Guess what?  He
even has a page of SocCap links!
> -- http://www.sfu.ca/~insna/INSNA/Hot/soc_cap.htm
>
> I enjoy answering beginner's questions, as do others on this list, I just
don't like 'lazy questions'.
>
> Valdis
>
>
>
>
>
> ---- Jun Zhang <[log in to unmask]> wrote:
> > *****  To join INSNA, visit http://www.sfu.ca/~insna/  *****
> >
> >  Valdis,
> > I don't agree with you. Even Google can usually give us good results, I
> > still think the best resource for social network knowledge is "SOCNET"
email
> > list -- which NETWORKED most of well known social network
> > researchers...that's also how we increase the social capital of SOCNET,
> > isn't it (If I don't misunderstand the meaning of social capital).
> >
> > Of course, there will be a lot of negative issues we need to address,
such
> > as "elite members" might want to quit because of they are tired of
answering
> > too much simple questions. However, helping new comers who just start
their
> > research on SNA is also one purpose of this list and many old members
are
> > happy to do that, isn't it?
> >
> > Actually, one topic I always interesting in is that how we could use
Social
> > Network to help people share/find information. For people in academic,
> > sometimes it is really important to find the right people who do related
> > research in this area instead of a pdf file URL from Google. From the
author
> > of PDF to find that person is one solution, finding that people directly
> > from something like "SOCNET" is another. While Google is good at 1st.
SOCNET
> > is good at 2nd.
> >
> > So, while some people already complained that we rely too much on Google
> > these days, should we kill the 2nd options - which is emphasis the
> > importance of "Social Network" ourselves?
> >
> > Just my 2 cents,
> >
> >
> >
> > Best Regards,
> >
> >
> > Jun
> >
> >
> > ----- Original Message -----
> > From: "Valdis Krebs" <[log in to unmask]>
> > To: <[log in to unmask]>
> > Sent: Friday, November 21, 2003 2:02 PM
> > Subject: Re: Social capital and social networks?
> >
> >
> > > *****  To join INSNA, visit http://www.sfu.ca/~insna/  *****
> > >
> > > It is amazing how smart people on this list do not know how to use
Google!
> > >
> > >
> >
http://www.google.com/search?hl=en&ie=UTF-8&oe=UTF-8&q=social+capital+networ
> > k
> > >
> > > Read the first PDF Google finds.  Next, look up PageRank on Google to
know
> > why the first PDF Google found is a good suggestion.
> > >
> > > Valdis
> > >
> > >
> > >
> > > ---- Matej Cepl <[log in to unmask]> wrote:
> > > > *****  To join INSNA, visit http://www.sfu.ca/~insna/  *****
> > > >
> > > >         How does phenomenon of social capital fits into the study of
> > > >         social networks? What are the similarities, what are the
> > > >         differences? Can you suggest some good (and brief :-)
literature
> > > >         on this issue?
>
>

_____________________________________________________________________
SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.sfu.ca/~insna/). To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.
=========================================================================
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Reply-To:     [log in to unmask]
Sender:       Social Networks Discussion Forum <[log in to unmask]>
From:         Valdis Krebs <[log in to unmask]>
Subject:      SOCNET: engaging expertise
In-Reply-To:  <[log in to unmask]> from Jun Zhang
              <[log in to unmask]> on Fri, 21 Nov 2003 16:57:59 -0500

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

I think we really agree on most everything.  The only difference is that I see a distinction between a 'newbie' and a 'lazy newbie'[do my research for me], and you may not.

Over the years and many clients, I have seen the pluses and minuses of knowledge sharing/acquisition from both the perspective of the seeker and the expert.  One of the lessons I learned is that the seeker must do some homework before engaging the expert.  An expert appreciates the effort, thus creating more trust and engagement[usually] -- even if the seeker ran into many dead ends and did not get far.  And through this initial effort, the seeker is usually smarter and can therefore ask better questions. [Coming full circle to the original question -- trust and engagement are components of social capital.]

Rob Cross has some great writings on engaging experts.  This one is a good place to start...
http://www-1.ibm.com/services/files/ibv_trustandknow.pdf

Valdis



---- Jun Zhang <[log in to unmask]> wrote:
> Valids,
> Nothing personal here. Actually, from the past emails, I knew that you are
> one of the most active and willing-to-help person in this list.  But you
> know, for a newbie, a right pointer to the right article as
> start-learning-point can help them a lot and save them a lot of time.
> Actually,  for some of them, they even don't know the Soc web site is the
> best site (just my thought) to study social network.  If they are new to
> this area, how can they
> know that it is the best without surveying a lot of "links" in google.
> Google gives answers most of the time, but it still far from telling us
> which link is the best answer.
> Actually, by confirmed by you and others, that guy can know that Google's
> first return and SOC site is a good start point to answer his questions in
> ONE day. Should not you happy with that? That's the power of people, that's
> the power of why we need build social network to get help.
>
> Above all, sometimes an easy question for an expert is really a difficult
> one for newbies.
>
> Thanks,
>
> Jun
>
>
> ----- Original Message -----
> From: "Valdis Krebs" <[log in to unmask]>
> To: "Jun Zhang" <[log in to unmask]>; <[log in to unmask]>
> Sent: Friday, November 21, 2003 4:15 PM
> Subject: Re: Social capital and social networks?
>
>
> > I think most people enjoy helping others who help themselves... I know I
> do.  A question like "I am interested in X, and have already read A, B, and
> C -- what else is recommended?"  would bring many positive responses from
> members of this list.
> >
> > Another great source for network newbies is the INSNA web site.  Bill
> Richards has set up some great pages of links [by topic].  Guess what?  He
> even has a page of SocCap links!
> > -- http://www.sfu.ca/~insna/INSNA/Hot/soc_cap.htm
> >
> > I enjoy answering beginner's questions, as do others on this list, I just
> don't like 'lazy questions'.
> >
> > Valdis

_____________________________________________________________________
SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.sfu.ca/~insna/). To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.
=========================================================================
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Message-ID:  <[log in to unmask]>
Date:         Fri, 21 Nov 2003 15:30:09 -0800
Reply-To:     "Sean K. Murphy" <[log in to unmask]>
Sender:       Social Networks Discussion Forum <[log in to unmask]>
From:         "Sean K. Murphy" <[log in to unmask]>
Subject:      Re: Social capital and social networks?
Comments: To: [log in to unmask], [log in to unmask]
In-Reply-To:  <[log in to unmask]>

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

It's been my experience on USENET and other forums
where you are making a written (email) request to
a group of experts, that it's a good idea to show
the work that you have already done to try and
solve your problem or answer your question. This
let's folks know what you have tried and what you
may have overlooked and can help them to frame a
better answer.

I would suggest is it's a safe assumption that the
format that Valdis proposed works in almost any
forum where you are requesting "expert" help. Every
email I get from this group has a pointer to
http://www.sfu.ca/~insna/ appended: there is not
only a wealth of info there but also links to many
other useful sites.

The explosion of interest in social networking and
social software in the popular and business press,
and in the startup & VC community, means that
this list will see a continued influx of newcomers
trying to learn details of decades of existing
research.  If you are one of these folks, you
should be aware that in addition to the INSNA site
you can also search the SOCNET message archive
here: http://www.lists.ufl.edu/archives/socnet.html

Sean Murphy [log in to unmask]

At 04:39 PM 11/21/2003 -0500, Mike Prescott wrote:
>*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****
>
>I think this wouldn't be an issue if there were some norms of engagement
>stated somewhere. I think most people want to adhere to these but for a
>newcomer this is difficult to ascertain. At the same time this can also
>keep some people silent for a long time(lurking in perpetuity) even if
>they may have a potentially valuable contribution to make. Maybe that's
>one of the shortcomings of a discussion forum like this that doesn't have
>a bigger web site connected to it?
>
>_____________________________________________________________________

At 04:15 PM 11/21/2003 -0500, Valdis Krebs wrote:
>*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****
>
>I think most people enjoy helping others who help themselves... I know I
>do.  A question like "I am interested in X, and have already read A, B,
>and C -- what else is recommended?"  would bring many positive responses
>from members of this list.
>
>Another great source for network newbies is the INSNA web site.  Bill
>Richards has set up some great pages of links [by topic].  Guess what?  He
>even has a page of SocCap links!
>-- http://www.sfu.ca/~insna/INSNA/Hot/soc_cap.htm
>
>I enjoy answering beginner's questions, as do others on this list, I just
>don't like 'lazy questions'.
>
>Valdis
>
>
>
>
>
>---- Jun Zhang <[log in to unmask]> wrote:
> > *****  To join INSNA, visit http://www.sfu.ca/~insna/  *****
> >
> >  Valdis,
> > I don't agree with you. Even Google can usually give us good results, I
> > still think the best resource for social network knowledge is "SOCNET"
> email
> > list -- which NETWORKED most of well known social network
> > researchers...that's also how we increase the social capital of SOCNET,
> > isn't it (If I don't misunderstand the meaning of social capital).
> >
> > Of course, there will be a lot of negative issues we need to address, such
> > as "elite members" might want to quit because of they are tired of
> answering
> > too much simple questions. However, helping new comers who just start their
> > research on SNA is also one purpose of this list and many old members are
> > happy to do that, isn't it?
> >
> > Actually, one topic I always interesting in is that how we could use Social
> > Network to help people share/find information. For people in academic,
> > sometimes it is really important to find the right people who do related
> > research in this area instead of a pdf file URL from Google. From the
> author
> > of PDF to find that person is one solution, finding that people directly
> > from something like "SOCNET" is another. While Google is good at 1st.
> SOCNET
> > is good at 2nd.
> >
> > So, while some people already complained that we rely too much on Google
> > these days, should we kill the 2nd options - which is emphasis the
> > importance of "Social Network" ourselves?
> >
> > Just my 2 cents,
> >
> >
> >
> > Best Regards,
> >
> >
> > Jun
> >
> >
> > ----- Original Message -----
> > From: "Valdis Krebs" <[log in to unmask]>
> > To: <[log in to unmask]>
> > Sent: Friday, November 21, 2003 2:02 PM
> > Subject: Re: Social capital and social networks?
> >
> >
> > > *****  To join INSNA, visit http://www.sfu.ca/~insna/  *****
> > >
> > > It is amazing how smart people on this list do not know how to use
> Google!
> > >
> > >
> >
> http://www.google.com/search?hl=en&ie=UTF-8&oe=UTF-8&q=social+capital+networ
> > k
> > >
> > > Read the first PDF Google finds.  Next, look up PageRank on Google to
> know
> > why the first PDF Google found is a good suggestion.
> > >
> > > Valdis
> > >
> > >
> > >
> > > ---- Matej Cepl <[log in to unmask]> wrote:
> > > > *****  To join INSNA, visit http://www.sfu.ca/~insna/  *****
> > > >
> > > >         How does phenomenon of social capital fits into the study of
> > > >         social networks? What are the similarities, what are the
> > > >         differences? Can you suggest some good (and brief :-)
> literature
> > > >         on this issue?
>
>_____________________________________________________________________
>SOCNET is a service of INSNA, the professional association for social
>network researchers (http://www.sfu.ca/~insna/). To unsubscribe, send
>an email message to [log in to unmask] containing the line
>UNSUBSCRIBE SOCNET in the body of the message.

_____________________________________________________________________
SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.sfu.ca/~insna/). To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.
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Message-ID:  <[log in to unmask]>
Date:         Fri, 21 Nov 2003 19:53:41 -0500
Reply-To:     "Luther, Jim" <[log in to unmask]>
Sender:       Social Networks Discussion Forum <[log in to unmask]>
From:         "Luther, Jim" <[log in to unmask]>
Subject:      Re: Social capital and social networks?
Comments: To: Jun Zhang <[log in to unmask]>

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Why not build a database that organizes citations according to the most
frequently queried SNR topics?

Jim Luther
University of Pittsburgh

-----Original Message-----
From: Jun Zhang [mailto:[log in to unmask]]
Sent: Friday, November 21, 2003 3:32 PM
To: [log in to unmask]
Subject: Re: Social capital and social networks?

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

 Valdis,
I don't agree with you. Even Google can usually give us good results, I
still think the best resource for social network knowledge is "SOCNET" email
list -- which NETWORKED most of well known social network
researchers...that's also how we increase the social capital of SOCNET,
isn't it (If I don't misunderstand the meaning of social capital).

Of course, there will be a lot of negative issues we need to address, such
as "elite members" might want to quit because of they are tired of answering
too much simple questions. However, helping new comers who just start their
research on SNA is also one purpose of this list and many old members are
happy to do that, isn't it?

Actually, one topic I always interesting in is that how we could use Social
Network to help people share/find information. For people in academic,
sometimes it is really important to find the right people who do related
research in this area instead of a pdf file URL from Google. From the author
of PDF to find that person is one solution, finding that people directly
from something like "SOCNET" is another. While Google is good at 1st. SOCNET
is good at 2nd.

So, while some people already complained that we rely too much on Google
these days, should we kill the 2nd options - which is emphasis the
importance of "Social Network" ourselves?

Just my 2 cents,



Best Regards,


Jun


----- Original Message -----
From: "Valdis Krebs" <[log in to unmask]>
To: <[log in to unmask]>
Sent: Friday, November 21, 2003 2:02 PM
Subject: Re: Social capital and social networks?


> *****  To join INSNA, visit http://www.sfu.ca/~insna/  *****
>
> It is amazing how smart people on this list do not know how to use Google!
>
>
http://www.google.com/search?hl=en&ie=UTF-8&oe=UTF-8&q=social+capital+networ
k
>
> Read the first PDF Google finds.  Next, look up PageRank on Google to know
why the first PDF Google found is a good suggestion.
>
> Valdis
>
>
>
> ---- Matej Cepl <[log in to unmask]> wrote:
> > *****  To join INSNA, visit http://www.sfu.ca/~insna/  *****
> >
> >         How does phenomenon of social capital fits into the study of
> >         social networks? What are the similarities, what are the
> >         differences? Can you suggest some good (and brief :-) literature
> >         on this issue?
>
> _____________________________________________________________________
> SOCNET is a service of INSNA, the professional association for social
> network researchers (http://www.sfu.ca/~insna/). To unsubscribe, send
> an email message to [log in to unmask] containing the line
> UNSUBSCRIBE SOCNET in the body of the message.
>
>

_____________________________________________________________________
SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.sfu.ca/~insna/). To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.

_____________________________________________________________________
SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.sfu.ca/~insna/). To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.
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Message-ID:  <[log in to unmask]>
Date:         Fri, 21 Nov 2003 17:59:50 -0800
Reply-To:     [log in to unmask]
Sender:       Social Networks Discussion Forum <[log in to unmask]>
From:         Bill Richards <[log in to unmask]>
Organization: INSNA
Subject:      You folks sure do like the Reply button, don't you!

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

When you "Reply" to a SOCNET posting, edit out the parts of the copied
original
that aren't important for someone who wants to understand your post.

The most recent one that came in is a Reply to a Reply to a Reply to a
posting.

The entire original post, AND the

"*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****"

AND the

"SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.sfu.ca/~insna/). To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message."

were all included in the first reply.

The ENTIRE first reply, AND the second copy of

"*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****"

AND the second copy of

"SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.sfu.ca/~insna/). To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message."

were included in the second reply.

Once again -- just in case we couldn't read it the first, second, or
third time? -- ALL OF THIS STUFF -- including the first message, the reply
to it, AND the reply to it -- was in the third reply.

In the name of sanity, DELETE THE STUFF THAT DOESN'T CONTRIBUTE TO YOUR MESSAGE!

When you respond to a posting that came out *2*minutes* ago, and you can't
control the urge to use the "Reply" button, edit out the stuff that we
just finished reading.

Why are you sending two or three copies of "SOCNET is a service of INSNA ..."?

Think!

_____________________________________________________________________
SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.sfu.ca/~insna/). To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.
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Message-ID:  <[log in to unmask]>
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Reply-To:     Matej Cepl <[log in to unmask]>
Sender:       Social Networks Discussion Forum <[log in to unmask]>
From:         Matej Cepl <[log in to unmask]>
Organization: Northeastern University -- Law, Policy, & Society
Subject:      Re: Social capital and social networks?
In-Reply-To:  <[log in to unmask]>

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

On Friday 21 of November 2003 16:57, Jun Zhang wrote:
> Actually, by confirmed by you and others, that guy can know
> that Google's first return and SOC site is a good start point
> to answer his questions in ONE day. Should not you happy with
> that? That's the power of people, that's the power of why we
> need build social network to get help.

Actually, that guy knows Google very well (I am using Linux only
on all computers under my hand, so believe I got *a lot of*
answers from Google). However, how could I know, that the link
which I should follow is _the third_ one (96 pages) and not the
second, first, fourth, etc. (of similar length I am afraid :-)?
Here I think professional experience is without competition.

Matej

--
Matej Cepl, http://www.ceplovi.cz/matej
GPG Finger: 89EF 4BC6 288A BF43 1BAB  25C3 E09F EF25 D964 84AC
138 Highland Ave. #10, Somerville, Ma 02143, (617) 623-1488

He had delusions of adequacy.
      -- Walter Kerr

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Sender:       Social Networks Discussion Forum <[log in to unmask]>
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Subject:      Re: Social capital and social networks?
In-Reply-To:  <[log in to unmask]>

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

On Friday 21 of November 2003 16:15, Valdis Krebs wrote:
> He even has a page of SocCap links! --
> http://www.sfu.ca/~insna/INSNA/Hot/soc_cap.htm

And how could clueless newbie like myself should know that "Hot
Issues" (which is usually headline covering meaningless stuff
like elections of the society chairman etc.) leads to wonderfull
list of references?

Matej

--
Matej Cepl, http://www.ceplovi.cz/matej
GPG Finger: 89EF 4BC6 288A BF43 1BAB  25C3 E09F EF25 D964 84AC
138 Highland Ave. #10, Somerville, Ma 02143, (617) 623-1488

America is the only country that has gone from barbarism to
decadence without civilization in between.
   -- Oscar Wilde

_____________________________________________________________________
SOCNET is a service of INSNA, the professional association for social
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Sender:       Social Networks Discussion Forum <[log in to unmask]>
From:         Matej Cepl <[log in to unmask]>
Organization: Northeastern University -- Law, Policy, & Society
Subject:      Re: Social capital and social networks?
In-Reply-To:  <[log in to unmask]>

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

On Friday 21 of November 2003 14:02, Valdis Krebs wrote:
> It is amazing how smart people on this list do not know how to
> use Google!

Well, one would expect on the list of networking people more
understanding for the value of networks. When I am asking here,
it means that I expect advice out of your experience, etc.
Whatever good I think about Google, I still consider it inferior
to bunch of real professionals in the field.

Matej

--
Matej Cepl, http://www.ceplovi.cz/matej
GPG Finger: 89EF 4BC6 288A BF43 1BAB  25C3 E09F EF25 D964 84AC
138 Highland Ave. #10, Somerville, Ma 02143, (617) 623-1488

Microwave oven?  Whaddya mean, it's a microwave oven?  I've been
watching Channel 4 on the thing for two weeks.

_____________________________________________________________________
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Reply-To:     Barry Wellman <[log in to unmask]>
Sender:       Social Networks Discussion Forum <[log in to unmask]>
From:         Barry Wellman <[log in to unmask]>
Subject:      asking for help

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

As Valdis seems to be a bit alone, I want to support his position briefly.
Fishing expeditions, on the order of I don't know anything (and I don't
want to bother learning) are not useful ways of eliciting information.

They usually take the form of "Please tell me everything you know about X
[broadly-defined]".

Much more useful is reading up on X, and then sending a message saying
"Given what we know about X [with details], could you help me understand X
to Y."

Abusive responses to this email will not be answered.
Love to all, and Happy Thanksgiving to the Americans,
 Barry
 _____________________________________________________________________

  Barry Wellman         Professor of Sociology        NetLab Director
  wellman at chass.utoronto.ca  http://www.chass.utoronto.ca/~wellman

  Centre for Urban & Community Studies          University of Toronto
  455 Spadina Avenue    Toronto Canada M5S 2G8    fax:+1-416-978-7162
             To network is to live; to live is to network
 _____________________________________________________________________

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*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

On Saturday 22 of November 2003 09:08, Barry Wellman wrote:
> Abusive responses to this email will not be answered.
> Love to all, and Happy Thanksgiving to the Americans,

Hi,

I do not want to drag this discussion any further, but I have to
admitt, that the original question should be more elaborated. I
did not want to indulge in fishing expedition (believe me, I
have read a lot of stuff on social capital -- not so much on
social networks, that's true), but rathere to check whether I
have not missed some point which is obvious to experienced
social networkers. Yes, I should be _much more_ elaborated on
what I wanted.

        Peace to all of you (and Happy Thanksgiving to all concerned),

                Matej

--
Matej Cepl, http://www.ceplovi.cz/matej
GPG Finger: 89EF 4BC6 288A BF43 1BAB  25C3 E09F EF25 D964 84AC
138 Highland Ave. #10, Somerville, Ma 02143, (617) 623-1488

Economics is the only discipline where two people can win a Nobel
Prize for saying exactly the opposite thing!
    -- Eamonn Butler of Adam Smith Institute
       on Nobel Prize awards for year 2001

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From:         Lorraine Bates <[log in to unmask]>
Subject:      network analysis: indigenous/non-indigenous interactions

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

I am interested in using network analysis to help understand the
complexities of making resource management decisions in communities where
there are significant numbers of indigenous people. Often in these
communities, control is primarily with the non-indigenous community. I am
particularly interested in the difficulties non-indigenous people have in
understanding the value system of indigenous people.

Are you aware of any studies that involve the use of network theory with
indigenous communities? Thank you very much for any assistance that you are
able to offer.

 regards,
 Lorraine
_______________________________________________________

 Lorraine Bates
 Regional Geographer
 Water Security and Sustainable Communities
 CSIRO Land and Water         Email:  [log in to unmask]
 Private Bag No 5             Phone:  +61-8-9333 6323
 Wembley  WA  6913            Fax:    +61-8-9333 6211
 Australia                    Web:    http://www.clw.csiro.au

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From:         Garry Robins <[log in to unmask]>
Subject:      Fwd: Clustering Coefficients & 2-Mode Networks

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

In a forthcoming article in CMOT, Malcolm Alexander and I propose a
bipartite clustering coefficient in the context of interlocking
directorates. In a 1-mode graph, one method to measure clustering is the
ratio of the number of triangles in the graph to the number of
2-paths.  Our bipartite coefficient is analogous:  it is the ratio of the
number of  "closed 4-paths" in the bipartite graph to the number of
3-paths, where a closed 4-path comprises 4 edges on 4-nodes. Of course,
this bipartite configuration translates as a multiple connection between
nodes in the 1-mode graphs derived from the bipartite graph.

In 1-mode networks of relatively low density with a fixed number of edges,
many triangles can only form at the expense of possibly disconnecting the
network. In other words, localized closure of 2-paths into triangles (high
clustering) may be at the cost of more global connectivity.  Analogously
for a bipartite graph, if the bipartite clustering coefficient is high,
then there is closure of many 3-paths. So for two bipartite graphs with
similar numbers of edges, we expect the graph with the higher bipartite
clustering ratio will show lower levels of global connectivity.  In our
study, we found much higher values than expected of bipartite clustering
(ie compared to various baseline distributions), indicating that shared
memberships of different company boards by pairs of directors was a major
feature of the data, with potential repercussions for connectivity across
the bipartite system.

cheers,


Garry Robins




>Giovanni Roberto Ruffini wrote:
>
>I apologize if this is a hopelessly vague question. I am having a rather
>hard time articulating it, and know that I have tried to do so with some
>of you unsuccessfully in the past.
>
>I am exploring the utility of the concept of clustering coefficients in
>analyzing the social connections of an ancient Egyptian village. But the
>connections I am working with are ones I have derived by running an
>affiliations function on a two-mode network, thus turning indirect
>connections (person->legal document->second person) into direct ones.
>
>I would like to use the (exceptionally high) clustering coefficient of
>this derived one-mode network to tell me something about the extent to
>which this village was ordered at the group level, by guild, by
>peer-group, etc. But it starts to occur to me that I cannot escape the
>distorting lense of the (now removed) texts linking person 1 to person 2.
>In other words, isn't the clustering coefficient in this case nothing but
>a measure of how much the names in each text overlap? So, in that sense,
>it tells us nothing about the society's structure itself, and everything
>about the clustering of the evidence for it.
>
>Am I understanding this correctly? Should I despair? Or is the clustering
>coefficient still an interesting number, even in light of this distorting
>problem? If so, how?
>
>I have looked at Watts _JAS_ 1999 fruitfully, although I am alarmed at
>the prospect of calling my Egyptians connected cavemen! :) What I think I
>need next is a way to be sure I'm understanding what I've read, and can
>put it in appropriately concrete (social, textual, methodological) terms.
>
>Thanks for your thoughts!
>
>Giovanni Ruffini

Dr Garry Robins
Department of Psychology
School of Behavioural Science
The University of Melbourne
Victoria 3010
Australia

Tel: 61 3 8344 6372
Fax: 61 3 9347 6618
Web: http://www.psych.unimelb.edu.au/staff/robins.html

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Subject:      Re: Fwd: Clustering Coefficients & 2-Mode Networks
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*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

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Subject:      Re: network analysis: indigenous/non-indigenous interactions
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*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

This version of this message has only URLs and brief descriptions.

Try these:

1) UK Appalachian Center & UK Committee on Social Theory: “Civic
Professionalism and Global Regionalism: Justice, Sustainability, and the
Scaling up of Community Participation”
http://www.uky.edu/RGS/AppalCenter/publications/docs/rock.pdf

2) "... communities (comunidades eclesiales de base) in the area of
Tulancingo, Hidalgo, and ... Radical Philosophy Association visit with
activists and academics in Me'xico, D.F."
"... network of Christian base communities and cooperatives in the
Tulancingo, Hgo. area. .... Desarrollo Rural de Hidalgo is part of
SENEC, a network of six empowerment projects throughout Me'xico which
works to help coordinate integrally developed and self-sustaining
cooperatives of mostly indigenous people .... Centro Derechos Humanos
Sergio Me'ndez Arceo, is part of the Mexican human rights network. ....
http://nativenet.uthscsa.edu/archive/nl/9601/0154.html

3) Electronic Networks - Building Community, 5th Community Networking
Conference: 3-5 July, 2002, Melbourne. Abstracts sorted by author,
accepted for the conference committee. Conference program
(http://www.ccnr.net/2002/times.rtf). Community networks; Community
Development, New Zealand; disability, networks; Innovative ways to
deliver internet in least developed nations; community networks, social
capital; Comparative networking, theory, ageing; Networks of resistance,
networks of inclusivity; Indigenous networking; Regional networks,
Maori, electronic literacy; Community Business and Development,
Aboriginals; more. http://www.ccnr.net/2002/abstracts.htm

4) Research in Australia and overseas has shown that people who
experience social and economic disadvantages tend to be sicker and die
younger than others. These health inequalities are compounded by complex
biological, behavioural, cultural and geographic factors. The Health
Inequalities Research Collaboration (HIRC) was developed in 1999 to
contribute to and guide the Federal Government's broader commitment to
building a strong evidence base for the development and implementation
of effective health policies, including those aimed at reducing health
inequalities.
http://scn.ecu.edu.au/about_us.php

5) Indigenous Science Network Bulletin.* *ION Updates are prepared by
the Aboriginal Research Institute at the University of South Australia
and are forwarded to e-mail members of the Indigenous Science Network
regularly (about every two weeks). The following are some highlights
since the December Bulletin.....
http://members.ozemail.com.au/~mmichie/feb03.htm
http://members.ozemail.com.au/~mmichie/feb03.htm
http://members.ozemail.com.au/~mmichie/feb03.htm

6) Economic Geography is an internationally peer-reviewed journal,
committed to publishing the best theoretically-based empirical articles
that deepen the understanding of significant economic geography issues
around the world. Diversified Agriculture, Land Use, and Agrofood
Networks in Hawaii, Krisnawati Suryanata.
http://www.clarku.edu/econgeography/
 From an abstract from a recent issue: Abstract: Agriculture dominated
the culture and economy of Hawaii until the mid-twentieth century, but
has since been in a prolonged state of decline. ... Drawing from the
actor-network perspective, ... suggests an alternative approach to
developing Hawaii’s diversified agriculture. Networks of social actors
that include growers, processors, .... how the politics of land use and
land development could condition Hawaii’s ability to build networks that
are critical to the maintenance of a diversified agricultural sector.
http://www.boydprinting.com/EcoGeo/2002_01.html

7) The Boreal Forest Network (BFN) is an organization of
environmentalists, Indigenous Peoples and scientists concerned with the
protection and sustainable use of the boreal forest, the largest
terrestrial ecosystem in North America. We are the North American arm of
the international Taiga Rescue Network, founded in 1992 during an
international conference in Jokkmokk, Sweden.
http://www.borealnet.org/pdf/summary_report.pdf

8) Medecins sans Frontiers. http://www.msf.org/home.cfm
Publications :http://www.msf.org/content/index.cfm
International MSF 2000 Activity Report. ... LUXEMBOURG: Creating a
network of support for young drug abusers; MEXICO: Basic health care for
indigenous people; ALGERIA: Reproductive health for the young and
marginalized; more

9) SARCIK: A synthesis in theory and practice, Hans Normann
SARCIK was established by the Institute for Indigenous Theory and
Practice as a logical and appropriate extension of its work. The
Institute's research had focused on the activities of indigenous helpers
and indigenous workers. Goals set down by the Management Committee of
SARCIK: Recovery of lost knowledge, documentation and utilization of
indigenous knowledge, increased understanding and awareness of
indigenous knowledge, improved networking, coordination and
participation, and research focusing on existing resources and
interdisciplinary linkages.
http://www.nuffic.nl/ciran/ikdm/3-1/articles/sarcik.html

10) About 96,000 other possibilies are at:
http://www.google.com/search?q=network+theory+with+indigenous+communities

Lorraine Bates wrote:

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

I am interested in using network analysis to help understand the
complexities of making resource management decisions in communities where
there are significant numbers of indigenous people. Often in these
communities, control is primarily with the non-indigenous community. I am
particularly interested in the difficulties non-indigenous people have in
understanding the value system of indigenous people.

Are you aware of any studies that involve the use of network theory with
indigenous communities? Thank you very much for any assistance that you are
able to offer.

 regards,
 Lorraine
_______________________________________________________

 Lorraine Bates
 Regional Geographer
 Water Security and Sustainable Communities
 CSIRO Land and Water         Email:  [log in to unmask]
 Private Bag No 5             Phone:  +61-8-9333 6323
 Wembley  WA  6913            Fax:    +61-8-9333 6211
 Australia                    Web:    http://www.clw.csiro.au
_____________________________________________________________________

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Subject:      Re: Fwd: Clustering Coefficients & 2-Mode Networks
Comments: To: Garry Robins <[log in to unmask]>

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Can't you use the segmentation indexes, e.g., the ratio of 4-paths to the ratio of 3-paths?
See Baerveldt & Snijders in Social Networks (1994), where we introduced these in social network analysis.

cheers,
Chris Baerveldt
-----Oorspronkelijk bericht-----
Van: Social Networks Discussion Forum namens Garry Robins
Verzonden: ma 24-11-2003 06:53
Aan: [log in to unmask]
CC:
Onderwerp: Fwd: Clustering Coefficients & 2-Mode Networks


*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

In a forthcoming article in CMOT, Malcolm Alexander and I propose a
bipartite clustering coefficient in the context of interlocking
directorates. In a 1-mode graph, one method to measure clustering is the
ratio of the number of triangles in the graph to the number of
2-paths.  Our bipartite coefficient is analogous:  it is the ratio of the
number of  "closed 4-paths" in the bipartite graph to the number of
3-paths, where a closed 4-path comprises 4 edges on 4-nodes. Of course,
this bipartite configuration translates as a multiple connection between
nodes in the 1-mode graphs derived from the bipartite graph.

In 1-mode networks of relatively low density with a fixed number of edges,
many triangles can only form at the expense of possibly disconnecting the
network. In other words, localized closure of 2-paths into triangles (high
clustering) may be at the cost of more global connectivity.  Analogously
for a bipartite graph, if the bipartite clustering coefficient is high,
then there is closure of many 3-paths. So for two bipartite graphs with
similar numbers of edges, we expect the graph with the higher bipartite
clustering ratio will show lower levels of global connectivity.  In our
study, we found much higher values than expected of bipartite clustering
(ie compared to various baseline distributions), indicating that shared
memberships of different company boards by pairs of directors was a major
feature of the data, with potential repercussions for connectivity across
the bipartite system.

cheers,


Garry Robins




>Giovanni Roberto Ruffini wrote:
>
>I apologize if this is a hopelessly vague question. I am having a rather
>hard time articulating it, and know that I have tried to do so with some
>of you unsuccessfully in the past.
>
>I am exploring the utility of the concept of clustering coefficients in
>analyzing the social connections of an ancient Egyptian village. But the
>connections I am working with are ones I have derived by running an
>affiliations function on a two-mode network, thus turning indirect
>connections (person->legal document->second person) into direct ones.
>
>I would like to use the (exceptionally high) clustering coefficient of
>this derived one-mode network to tell me something about the extent to
>which this village was ordered at the group level, by guild, by
>peer-group, etc. But it starts to occur to me that I cannot escape the
>distorting lense of the (now removed) texts linking person 1 to person 2.
>In other words, isn't the clustering coefficient in this case nothing but
>a measure of how much the names in each text overlap? So, in that sense,
>it tells us nothing about the society's structure itself, and everything
>about the clustering of the evidence for it.
>
>Am I understanding this correctly? Should I despair? Or is the clustering
>coefficient still an interesting number, even in light of this distorting
>problem? If so, how?
>
>I have looked at Watts _JAS_ 1999 fruitfully, although I am alarmed at
>the prospect of calling my Egyptians connected cavemen! :) What I think I
>need next is a way to be sure I'm understanding what I've read, and can
>put it in appropriately concrete (social, textual, methodological) terms.
>
>Thanks for your thoughts!
>
>Giovanni Ruffini

Dr Garry Robins
Department of Psychology
School of Behavioural Science
The University of Melbourne
Victoria 3010
Australia

Tel: 61 3 8344 6372
Fax: 61 3 9347 6618
Web: http://www.psych.unimelb.edu.au/staff/robins.html

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Subject:      CFP: Business Networks Colloquium, London, 3-6 August 2004

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

THE VALUE OF NETWORKS

The University of Greenwich Business Network Research Group invites
contributions to a Colloquium on 'The Value of Networks' to be held in
association with The Fourth International Conference on Knowledge, Culture
and Change in Organisations.

We are seeking both theoretical pieces and empirical studies on the
relationship of social networks to the value-creation process, whether
conceived as a value system, value net, or production/commodity chain. This
includes conceiving the intangible relationships intertwined with monetary
and non-monetary exchanges between firms as well as issues involved in the
valuation of these relationships themselves.

Abstracts of 150-250 words, together with a brief 15-25 word description
and up to 10 key words should be emailed to [log in to unmask] by 6
December, 2003.

To be held at the in the magnificent World Heritage listed Maritime Campus
of the University of Greenwich in London, United Kingdom, 3-6 August 2004,
the  International Conference on Knowledge, Culture and Change in
Organisations will address the theme of 'Knowledge and Culture -
Organisational Intangibles and their Tangible Value'. For full details see:
http://managementconference.com/

Papers presented to the conference may be published in the International
Journal of Knowledge, Culture and Change Management.

-------------------------------------------------------------
Dr Bruce Cronin MA PhD
Director of Undergraduate Studies
Programme Leader, MA International Business
University of Greenwich Business School
Park Row, Greenwich
London SE10 9LS
Ph: +44(0)20-8331-9786
Fax: +44(0)20-8331-9005
-------------------------------------------------------------

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From:         "Adam P. Coutts" <[log in to unmask]>
Subject:      linking social capital

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Dear all,

I was wondering if anyone knew of a measure or a study which examines
'LINKING SOCIAL CAPITAL'? This is defined as

“norms of respect and networks of trusting relationships between persons
who are interacting across explicit, formal or institutionalized power or
authority gradients in society".

Any help would be very much appreciated.

Kind regards,
Adam Coutts.

_________________________________________
Harvard School of Public Health
Dept of Society, Human Development & Health
677 Huntington Avenue
Boston-MA
.........................................
Tel: (001) 617-432-3751
Mob: (0044) 7775-601-961
.........................................
http://www.hsph.harvard.edu/Academics/shh/
.........................................

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Date:         Mon, 24 Nov 2003 21:21:13 -0500
Reply-To:     David Teten <[log in to unmask]>
Sender:       Social Networks Discussion Forum <[log in to unmask]>
From:         David Teten <[log in to unmask]>
Organization: Nitron Advisors LLC
Subject:      how to value and grow your personal network

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

I write to request your input on how to value and grow your personal
network.

By way of background, I am working on a book on building quality business
relationships online.  My co-authors and I recently released an ebook sneak
preview of our forthcoming book, which is available at
http://www.onlinebusinessnetworking.com .

As part of the research, we have developed a formula to analyze the
components of your network and use that as a tool to improve your network.
Reed's Law and Metcalfe's Law are simple ways to analyze the value of a
network as a whole, whereas we are interested in the network from the point
of view of a member of the network.  You can see details on the formula at
http://www.onlinebusinessnetworking.com/docs/MakeYourBusinessClick1-OnlineBusinessRelationships-Sample.pdf .
I recently gave a speech at Yale on this topic; you can download the slides
at http://teten.com/Book.pdf .

I would value any feedback/brutally honest constructive criticism you may
have.  Thanks!

And quoting Barry Wellman, "Happy Thanksgiving to the Americans."


________________________________________
David Teten
Nitron Advisors, LLC ( www.NitronAdvisors.com )
Circle of Experts ( www.CircleOfExperts.net )
Recruiting frontline industry experts for institutional investors
________________________________________
email: [log in to unmask]
office: [1] 212-838-9869, cell: [1] 917-355-5726, efax: [1] 702-995-4063
New York, NY  USA

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Message-ID:  <[log in to unmask]>
Date:         Tue, 25 Nov 2003 18:13:51 -0600
Reply-To:     "Reifman, Alan" <[log in to unmask]>
Sender:       Social Networks Discussion Forum <[log in to unmask]>
From:         "Reifman, Alan" <[log in to unmask]>
Subject:      data-analytic question

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

I am working on a research project that has the following (hypothetical) design.  Say that we have 10 individuals in some community and we want to predict whether a friendship exists between each pair of individuals.  A matrix of non-directional friendship links (1 = yes, 0 = no) can be formed with 45 elements (i.e., a lower-diagonal matrix with no self ties).  I'm a relative newcomer to quantitative network studies, but the seemingly simple analytic design I came up with was to create a data set with 45 lines of data (one for each potential pairing).  The dependent variable on each line would be the aforementioned 1 or 0 for existence of a friendship.  Each line would also contain several predictor variables for the potential pair, some dichotomous (e.g., do they work for the same firm?, again scored 1 or 0) and some quantitative (e.g., how many blocks apart do they live?).  One could then perform a logistic regression with the dichotomous DV and the various predictor variables.  An odds ratio associated with each predictor would reveal whether the predictor appeared to contribute to pairs' being friends with each other.  I just finished reading Wasserman and Faust's "Social Network Analysis" (in toto) and I did not find any analytic strategy like the one I described above (as best I could tell).  Wasserman and Faust focused more on blockmodels, popularity and reciprocity parameters, etc. I do recognize that the design I've proposed has a potential problem with non-independence of observations (i.e., the same individual is implicated in several potential pairings).  My question is twofold:  (a) putting aside the independence issue for the moment, does my design sound reasonable? and (b) could the independence problem be overcome (at least to some extent) by using alpha levels more stringent than the usual .05 in order to adjust for the (presumably) inflated degrees of freedom in my design?

Thanks,

Alan Reifman, Ph. D.,  Associate Professor
Dept of Human Dev't and Family Studies
College of Human Sciences
Texas Tech University
Lubbock, TX 79409-1162
(806) 742-3000
http://www.hs.ttu.edu/hdfs/Faculty/reifman.htm

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Message-ID:  <[log in to unmask]>
Date:         Tue, 25 Nov 2003 20:48:23 -0500
Reply-To:     David Gibson <[log in to unmask]>
Sender:       Social Networks Discussion Forum <[log in to unmask]>
From:         David Gibson <[log in to unmask]>
Subject:      Wellman on NPR

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Socnetters,

As I write I'm listening to Barry Wellman on Boston's NPR station,
making a strong showing as an expert on cell phone technology and its
social consequences. I assume the audio will shortly be available on the
show's (On Point) web site:

http://www.onpointradio.org/shows/date.asp?m=11&y=2003

DRG

--
David Gibson
Assistant Professor
Department of Sociology
Harvard University
564 William James Hall
33 Kirkland Street
Cambridge, MA 02138

Voice: (617) 495-3825
Fax: (617) 496-5794

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From:         Bill Richards <[log in to unmask]>
Organization: INSNA
Subject:      Connections 25(2)

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Connections 25(2), a special topics issue on Social Network Influences
on Adolescent
Substance Use, is on the INSNA web site. It is also at the printer and
will be in your mailbox
in a couple of weeks (maybe a bit longer, depending on the mail service)
if you are a member
of INSNA. You can see it if you go to http://www.scu.ca/~insna, click on
Connections <http://www.sfu.ca/%7Einsna/indexConnect.html>,
then on  2003 Volume 25, number 2
<http://www.sfu.ca/%7Einsna/Connections-Web/Volume25-2/TOC.25.2.htm>

To entice you, here's the table of contents:

A network pioneer has passed away  . . . . . . . . . . . . . . . . . . .
. . .. . . . . . . . . . 5
    Barry Wellman

Ties and Bonds . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . 6
    Barry Wellman

Social Network Influences on Adolescent Substance Use An Introduction .
. . . . 11
    Thomas W. Valente

Predisposition and Pressure: Mutual Influence and Adolescent Drunkenness
. . . . 17
    Monica Gaughan

Peer Network, Sensation Seeking, and
Drug Use among Junior and Senior High School Students . . . . . . . . .
. . . . . . . . 32
    Ronald E. Rice, Lewis Donohew, Richard Clayton

Drifting Smoke Rings: Social Network Analysis and Markov Processes
in a Longitudinal Study of Friendship Groups and Risk-taking . . . . . .
. . . . . . . . . 59
    Michael Pearson and Patrick West

Boundary-crossing and drug use among young adults in a low-income,
minority, urban neighborhood . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . 77
    Peter L. Flom, Samuel R. Friedman, Alan Neaigus, Milagros Sandoval

Will You Remember Me In The Morning?
Test-Retest Reliability of a Social Network Analysis Examining
HIV-Related Risky Behavior in Urban Adolescents and Young Adults . . . .
. . . . . 88
    Scott Clair, Jean J. Schensul, Monika Raju, Edward Stanek, Raul Pino

Translating INSNA . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . 98
    Bill Richards, Tad Sozan'ski, and many readers of Connections

Enjoy!

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From:         "[log in to unmask]" <[log in to unmask]>
Subject:      Burt's "constraint in non-symmetric networks

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Dear all,

in measuring "constraint" in non-symmetric networks, Burt typically sums the values of the relations between each pair into symmetric measures of connection. I believe this is also what Ucinet and Pajek do. However, I want to compute "constraint" on the network of outgoing ties only. I read that STRUCTURE has an option that allows this, but my network is way too large for STRUCTURE to handle it. Any suggestions on how I could do that in Ucinet or Pajek (or else)?

Thanx,
Gianluca

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Message-ID:  <[log in to unmask]>
Date:         Wed, 26 Nov 2003 10:04:34 -0500
Reply-To:     "Andrew V. Shipilov" <[log in to unmask]>
Sender:       Social Networks Discussion Forum <[log in to unmask]>
From:         "Andrew V. Shipilov" <[log in to unmask]>
Subject:      Re: data-analytic question
Comments: To: "Reifman, Alan" <[log in to unmask]>

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Alan,

Your study design is fine and quite a few studies like this have been done in the past. The issue of non-independence of observations is not the only one you would have to struggle with when conducting this type of analysis. While there are many methods available, try the simplest approach commonly referred to as QAP (Quadratic Assignment Procedure). You can find this option in UCINET. You may want to refer to the following papers for a detailed explanations of this technique:

Krackhardt, D. 1988. Predicting with networks: Nonparamatric multiple regression analysis of dyadic data. Social Networks, 10: 359-381.
Gulati, R. 1995. Social structure and alliance formation patterns: A longitudinal analysis. Administrative Science Quarterly, 40: 619-652.

Best,


Andrew V. Shipilov
Ph.D. Candidate
Strategic Management and Organization Theory
Joseph L. Rotman School of Management
University of Toronto
105 St. George Street
Toronto, ON, Canada
M5S 3E6
Fax: 416-978-5433
http://www.rotman.utoronto.ca/~shipilov

        -----Original Message-----
        From: Reifman, Alan [mailto:[log in to unmask]]
        Sent: Tue 11/25/2003 7:13 PM
        To: [log in to unmask]
        Cc:
        Subject: data-analytic question



        *****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

        I am working on a research project that has the following (hypothetical) design.  Say that we have 10 individuals in some community and we want to predict whether a friendship exists between each pair of individuals.  A matrix of non-directional friendship links (1 = yes, 0 = no) can be formed with 45 elements (i.e., a lower-diagonal matrix with no self ties).  I'm a relative newcomer to quantitative network studies, but the seemingly simple analytic design I came up with was to create a data set with 45 lines of data (one for each potential pairing).  The dependent variable on each line would be the aforementioned 1 or 0 for existence of a friendship.  Each line would also contain several predictor variables for the potential pair, some dichotomous (e.g., do they work for the same firm?, again scored 1 or 0) and some quantitative (e.g., how many blocks apart do they live?).  One could then perform a logistic regression with the dichotomous DV and the various predictor varia!
        bles.  An odds ratio associated with each predictor would reveal whether the predictor appeared to contribute to pairs' being friends with each other.  I just finished reading Wasserman and Faust's "Social Network Analysis" (in toto) and I did not find any analytic strategy like the one I described above (as best I could tell).  Wasserman and Faust focused more on blockmodels, popularity and reciprocity parameters, etc. I do recognize that the design I've proposed has a potential problem with non-independence of observations (i.e., the same individual is implicated in several potential pairings).  My question is twofold:  (a) putting aside the independence issue for the moment, does my design sound reasonable? and (b) could the independence problem be overcome (at least to some extent) by using alpha levels more stringent than the usual .05 in order to adjust for the (presumably) inflated degrees of freedom in my design?

        Thanks,

        Alan Reifman, Ph. D.,  Associate Professor
        Dept of Human Dev't and Family Studies
        College of Human Sciences
        Texas Tech University
        Lubbock, TX 79409-1162
        (806) 742-3000
        http://www.hs.ttu.edu/hdfs/Faculty/reifman.htm

        _____________________________________________________________________
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From:         "Reifman, Alan" <[log in to unmask]>
Subject:      suggestions on logistic regression analysis

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

I received several informative replies on my data-analytic question,
for which I'd like to thank everyone.  One person e-mailed me to request
that I forward her the replies so she could see what people had suggested.
Although some people appeared to direct their reply both to me individually
and to the SOCNET list as a whole, most appeared to reply to me individually.
I would be happy to copy and paste everyone's reply into a single message
and forward it to the list, so everyone could see the suggestions.  I recognize
that some people who e-mailed me may not have intended their message to
be seen by everyone.  Therefore, before I post a summary of replies, I would
invite anyone who replied to me but does not want his or her message posted
to the entire SOCNET list to notify me to that effect.  Given the upcoming
Thanksgiving holiday, I will wait until the middle of next week to post my
summary.

Thanks again,
Alan

**********************************************************
Alan Reifman, Ph. D.,  Associate Professor
Dept of Human Dev't and Family Studies
College of Human Sciences
Texas Tech University
Lubbock, TX 79409-1162
(806) 742-3000
http://www.hs.ttu.edu/hdfs/Faculty/reifman.htm

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Date:         Wed, 26 Nov 2003 18:34:20 +0000
Reply-To:     Rick Davies <[log in to unmask]>
Sender:       Social Networks Discussion Forum <[log in to unmask]>
From:         Rick Davies <[log in to unmask]>
Organization: Cambridge, UK
Subject:      "Network perspectives on the evaluation of development
              interventions"

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Dear Socnet'ers

This is the approx title of a paper I have recently written for a
conference on impact assessment methods.

You can find it here at
 http://www.mande.co.uk/docs/nape.pdf

Any comments on the arguments and examples discussed would be welcome

regards from Rick Davies
Monitoring and Evaluation Consultant
www.mande.co.uk
--
Rick Davies (Dr)
Monitoring and Evaluation Specialist
Cambridge, U.K.
Email: [log in to unmask]
Phone: 44 (0) 1223 841 367
Mobile: 44 (0) 7855 766 354
Fax (to Email): 44 (0) 8701 640 239
Website: Monitoring and Evaluation NEWS at
http://www.mande.co.uk/news.htm

Weapons of mass destruction? What weapons of mass destruction?

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From:         Bill Richards <[log in to unmask]>
Organization: INSNA
Subject:      The Fifth Conference on Human Resource Development (HRD)

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Call for papers for "The Fifth Conference on Human Resource Development
(HRD)" which is to be held in Limerick, Irelandon the 27th & 28th of May
2004.

One of the themes of the conference is:

HRD in Dispersed Organisations and Multi-Organisational Networks. This
includes a focus on HRD in network formation, the role of HRD in developing

social capital, the challenges of boundary crossing, mobile learning,
learning communities, communities of practice, knowledge communities,
learning in social networks.

The web address for the conference is now up and running as follows:
www.ahrdi.com

Hope to meet some of you then,

Regards,
Claire
<<Fifth Conference on HRD-Limerick.doc

Claire Gubbins
Department of Personnel & Employment Relations
& HRD/HRM Research Group
College of Business
University of Limerick
Limerick
Ireland
Email: [log in to unmask]
Phone: 061-202666
Mobile: 087-2047364

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Subject:      A social networks human interest story

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

  This, recently off the press, should be of interest to socnetters.  The full
article has further comments about the subjects that I didn't think would be as
relevant as those included below.  You shouldn't fail to notice the social
network action in this piece.

Eugene Johnsen, Department of Mathematics
University of California, Santa Barbara

- - - - - - - - - - - - - - - - - - - -
  The following are excerpts from an article in the Minneapolis Star Tribune of
Tuesday, November 25, 2003 entitled "They're Oxford Bound" by Mary Jane
Smetanka, Star Tribune Staff Writer.

  "Rhodes scholars are 'those' people.  You know, superbright, incredibly
articulate, impossibly well-rounded..  Not like Decker Walker Jr. of
St. Olaf College, a math and economics major who plays football, or Allison
Gilmore of Eagan, who is a math major at Washington University in St. Louis.
  Or so they both thought.
  Walker and Gilmore were named 2004 Rhodes Scholars this weekend.  On Monday,
both were still incredulous that next fall they will enter Oxford University
for up to three years.  Both were talked into applying by other Rhodes
Scholars.  They are two of the 32 American Rhodes Scholars for 2004.
  .....
  While they both say they're shocked at their selection, their resumes tell
another story.  Gilmore, 22, who graduated from Eastview High School in Apple
Valley, was in a University of Minnesota math program for talented youth and
said a "U" professor first sparked her interest in topology, the geometric
study of spaces.  She studied knot theory - yes, that's the mathematical study
of knots - in a summer program at the Massachusetts Institute of Technology.
At Washington, she is getting both a bachelor's and a master's degree in
mathematics.
  .....
  Gilmore will emphasize social science at Oxford.  While interviewers who
screened her for the scholarship questioned why she would take an apparent turn
in her studies by focusing on sociology rather than math, she said she is
interested in social network theory, which involves both sociology and math.
  "It's the perfect culmination of all my different interests in social and
political movements, as an activist, and it brings in the math I love," Gilmore
said, "When I found this field I couldn't believe it -- it was like somebody
made it for me."
  She hopes someday to be a math professor who does work with sociologists.
  ....."

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Reply-To:     patrick rose <[log in to unmask]>
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From:         patrick rose <[log in to unmask]>
Subject:      Valued directional data.

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Hello.



I am relatively new to social network analysis and trying to analyze several valued directional datasets (I really would like to keep the data as valued rather than dichotomizing them).



Can anybody suggest (any) references to analyze and interpret this particular kind of data (e.g., in Ucinet)?: I am particularly interested in actor and network centralization indices.



I really appreciate all your help in advance.


Patrick Rose


---------------------------------
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Free Pop-Up Blocker - Get it now

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Date:         Fri, 28 Nov 2003 10:48:22 +0100
Reply-To:     Elisa Mattarelli <[log in to unmask]>
Sender:       Social Networks Discussion Forum <[log in to unmask]>
From:         Elisa Mattarelli <[log in to unmask]>
Subject:      Re: Valued directional data.
Comments: To: patrick rose <[log in to unmask]>

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Hallo,

  With reference to valued directional data, I had to compute centrality
indexes for my research recently; I am relatively new to social network
analysis, too, so I hope not to be too naive in my suggestions! I read these
articles, that I found interesting and I hope can be of use to you:

Bonacich, 1987: "Power and centrality: a family of measures", AJS, Vol. 92,
No. 5, pages 1170-82

Freeman, Borgatti and White, 1991: "Centrality in valued graphs: a measure
of betweenness based on network flow", Social Networks, Vol. 13, pages
141-154

Freeman, Borgatti and While, 1994: "Betweeness centrality measures for
directed graphs", Social Networks, Vol. 16, pages 335-346

Everett and Borgatti, 1999: "The centrality of group and classes", Journal
of mathematical society

Elisa Mattarelli, University of Bologna, Italy





----- Original Message -----
From: "patrick rose" <[log in to unmask]>
To: <[log in to unmask]>
Sent: Friday, November 28, 2003 5:08 AM
Subject: Valued directional data.


> *****  To join INSNA, visit http://www.sfu.ca/~insna/  *****
>
> Hello.
>
>
>
> I am relatively new to social network analysis and trying to analyze
several valued directional datasets (I really would like to keep the data as
valued rather than dichotomizing them).
>
>
>
> Can anybody suggest (any) references to analyze and interpret this
particular kind of data (e.g., in Ucinet)?: I am particularly interested in
actor and network centralization indices.
>
>
>
> I really appreciate all your help in advance.
>
>
> Patrick Rose
>
>
> ---------------------------------
> Do you Yahoo!?
> Free Pop-Up Blocker - Get it now
>
> _____________________________________________________________________
> SOCNET is a service of INSNA, the professional association for social
> network researchers (http://www.sfu.ca/~insna/). To unsubscribe, send
> an email message to [log in to unmask] containing the line
> UNSUBSCRIBE SOCNET in the body of the message.

_____________________________________________________________________
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Message-ID:  <[log in to unmask]>
Date:         Fri, 28 Nov 2003 10:03:25 -0500
Reply-To:     Barry Wellman <[log in to unmask]>
Sender:       Social Networks Discussion Forum <[log in to unmask]>
From:         Barry Wellman <[log in to unmask]>
Subject:      Danah Boyd -- social network software
Comments: To: communication and information technology section asa
          <[log in to unmask]>, aoir list <[log in to unmask]>,
          asa com&urb section e-list <[log in to unmask]>

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Folks,

Social network software is becoming hot,so much so that even the New York
Times has noticed it, with a nice article on the front page of the
Circuits section on Nov 27 2003. (A U.S. holiday celebrating Immigration,
Early Imperialism & Family Bonding.) Basically, the software creates
possibilities to link friends, friends of friends, etc. and to locate
people with shared interrests -- although it also has the possibility for
organizational and police surveillance (who is talking with whom in my
organization? what are Al-Qaeda's links? who is Wellman hanging out with?)

The article is keyed around the rather unique and always interesting Danah
Boyd, a sociological grad student at the School of Information Management
and Systems, Univ of California Berkeley. A pix of her with bright red
hair graces the front page. Those who attended the recent Toronto AoIR
conference may remmeber Danah's costume then: as I recall, a white
bunny-eared fleece hat topping a pink jump suit.

 Barry
 _____________________________________________________________________

  Barry Wellman         Professor of Sociology        NetLab Director
  wellman at chass.utoronto.ca  http://www.chass.utoronto.ca/~wellman

  Centre for Urban & Community Studies          University of Toronto
  455 Spadina Avenue    Toronto Canada M5S 2G8    fax:+1-416-978-7162
             To network is to live; to live is to network
 _____________________________________________________________________

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Subject:      Announcement: Workshop on Network Analysis of Text

*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Introductory Workshop to Network Analysis of Texts

Announcement



Date: 2nd to 5th February 2004
Place: Lisbon, Portugal in ISEG (Institute of Economics and Business Administration- Technical University of Lisbon)
Organization: SOCIUS (Research Centre on Economic Sociology and the Sociology of Organisations)
Professor: Vladimir Batagelj (University of Ljubliana, Slovenia) &#8211; http://vlado.fmf.uni-lj.si/

Objective: Familiarise the participants with the main concepts, methods and applications of network analysis of text and to teach the basic tools to conduct such an analysis.

Description: Different ways to derive networks from textual data and an overview of applications of network analysis to the analysis of text will be presented. Examples of analyses of different text networks will be given as illustrations: bibliographic networks (for instance authors collaboration networks and citation networks), dictionary networks (Foldoc, Odlis, EAT, Wordnet, etc.) text analysis networks, which through natural language processing and network analysis techniques produces abstract representations of texts (ex: analysis of news concerning terrorist attacks, KEDS). The course will also have a strong focus on visualisation of these networks.

Program: Monday to Thursday &#8211; theory: 9.30 - 13h ; practice: 14.30-17h


Content of the course:

Day 1.  Introduction to graphs, networks and Pajek.
               Obtaining networks from textual data.
Day 2.  Structure of networks (statistical characteristics,
               components, cores, islands, ...)
Day 3.  Important elements in networks (indices and weights).
               Acyclic networks.
Day 4. Clustering and blockmodeling. Patterns searching.

In the afternoon the concepts from the morning lectures will be applied in the analysis of real-life networks obtained from textual data. The software utilised will be PAJEK, a program for large network analysis and visualisation (freely available at http://vlado.fmf.uni-lj.si/pub/networks/pajek )




Maximum number of participants: 22
Cost: 250&#8364; (50% reduction for fulltime students). Payment can be divided in two parts of 50% each, and should be done through bank transfer or international check, addressed to SOCIUS. The application will only be accepted after the first payment (at least 50%). The second half of the payment should be received until the last week of January.

Bank: Caixa Geral de Depósitos (CGD)
Agency: ISEG (0371)
Account number: 0371 00 2052 330
NIB: 0035003710000205233078
IBAN PT50003503710000205233078
BIC of CGD: CGDIPTPL



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Fax: 00 351 21 3951783
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