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***** To join INSNA, visit http://www.sfu.ca/~insna/ *****
Thanks to Carl on two accounts. First, for kicking off this topic - and,
second, his recognition of how many of us working alone depend on SOCNET as
a vital lifeline.
And, to echo Carl, thanks again to the experts for their time and patience
in replying to us innocents-at-large.
Maybe there's scope for a collaboration: "Answered: 101 dumb SNA questions
you were too ashamed to ask" - division of labour is pretty straightforward.
And - with the hope of not testing time and patience to breaking point -
here's another innocent one. I THINK it links with Carl's topic and the 96
Carley&Krackhardt (C&R) paper, but being a dumb question ...
From what I understand, the core question is "what forms do allowable
network data take?" Allowable in the sense of conforming to or at least
consistent with an 'SNA paradigm' that could range from strong to weak (dumb
question no.53 here, awaits an answer).
Putting initial quibbles aside: what about this? (Getting it right
socio-logically, socio-metrically and psycho-logically)
The context is a health and social care system. There are care workers and
there are care professions. Unsurprisingly, the interest is in levels of
mutual trust and respect - between professions (note). To what extent is the
following process 'allowable' in generating a valued two-mode (affiliation)
matrix prior to network representation?
1. Assume that each care worker can operate from internal scripts and
typifications.
2. With this assumption (?), collect data by asking respondents "You
are a member of profession X, what level of respect do you believe
profession Xi has for your profession?" Follow with: "You are ... (ditto
above) ....your profession has for Xi?" (value range, say, 1 thro 10)
3. Repeat over Xi's. Then repeat for trust.
4. Repeat for each respondent.
Generates nxm matrix - n care workers, m professions - with valued data
In reality (!) people seem to have no difficulty in responding to the
questions. However ... is this allowable?
Unfortunately, my problems don't end there.
But I guess that's all for now folks.
thanks, nick
nick gould,
university of Glamorgan,
uk
-----Original Message-----
From: Carl Nordlund
To: [log in to unmask]
Sent: 14/10/02 16:48
Subject: SV: Structural data based on actor attributes
***** To join INSNA, visit http://www.sfu.ca/~insna/ *****
Thank you for your responses. Also, excuse me for bombarding this
mailing
list with perhaps rudimentary questions but I have noone in my local
surrounding working with SNA!
Also, I must add that Taylor's approach to generating structural data
have
more elements to it (although still based on evalutation on actor
attributes), and he also uses a different syntax (see Research Bulletin
23
and 43, available at http://www.lboro.ac.uk/gawc/publicat.html). I must
also
add that I don't know if another methodology is used in other GaWC
papers
that I haven'r read (so far).
I am glad that I came to the same conclusion: that this isn't network
analysis done proper!
Yours,
Carl
-----Ursprungligt meddelande-----
Fran: Social Networks Discussion Forum [mailto:[log in to unmask]]For
Martina Morris
Skickat: den 14 oktober 2002 17:35
Till: [log in to unmask]
Amne: Re: Structural data based on actor attributes
***** To join INSNA, visit http://www.sfu.ca/~insna/ *****
if the model were { O(i) * O(j) } / O
you would have the beginnings of the classic model for independence
(seen
in the chi-square test and the loglinear model for independence).
departures from independence can also be modeled in the loglinear
framework. networkers often these models for local (egocentric) data
analysis.
pairing based on attributes is a traditional network interest, but with
this type of influence the dyads remain independent. in that sense, it
is
not like most network modeling.
best,
Martina
On Mon, 14 Oct 2002, Carl Nordlund wrote:
> ***** To join INSNA, visit http://www.sfu.ca/~insna/ *****
>
> Dear all,
>
> When studying the 'World City Network', Peter Taylor has specified a
> technique for obtaining structural data which is based on actor
attributes
> (Research bulletin 23, GaWC, also published in Geographical Analysis
33(2),
> 2001). He uses a formula like this one:
>
> C(i,j) = O(i) * O(j)
>
> ...where C(i,j) is the total connectivity between actor i and j and
where
> O(i) and O(j) are total number of TNC offices of actor i respectively
j.
>
> In short, what is done here is an estimation of the structural value
between
> dyads based on internal attributes of the actors. If city i has 2
offices
> and city j has 3 offices, the structural connectivity value between i
and
j
> is set to 6, thus implying the total number of links between these two
> actors.
>
> Is this a common way of fetching structural data, i.e to use actor
> attributes like this? Intuitively, what regards Taylor's study, it
feels
> like a reasonable good approximation of the structural data but when
it is
> only based on actor-internal attributes, I also get the feeling that
it
> isn't following a very 'networkish' style!
>
> Yours,
> Carl
> -----
> Carl Nordlund, BA, PhD student
> carl.nordlund(at)humecol.lu.se
> Human Ecology Division
> www.humecol.lu.se
>
> _____________________________________________________________________
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****************************************************************
Blumstein-Jordan Professor of Sociology and Statistics
Department of Sociology
Box 353340
University of Washington
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Phone Numbers:
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