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SOCNET  January 2008

SOCNET January 2008

Subject:

Re: Triple Helix dynamics in a transition economy (Hungary)

From:

Loet Leydesdorff <[log in to unmask]>

Reply-To:

Loet Leydesdorff <[log in to unmask]>

Date:

Fri, 4 Jan 2008 12:50:59 +0100

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (183 lines)

*****  To join INSNA, visit http://www.insna.org  *****

Dear Balazs, 

Thank you for talking back about such an important issue: the dynamic
analysis of social networks. In my opinion, three lines of research can be
distinguished: 

1. SIENA with a focus on action as agent of change; 
2. comparative statics: social networks are compared at different moment of
time using linear interpolation, and building next on previous solutions
(Pajek, PajekToSVGAnim);
3. dynamics.

My interest has been on the third category, but I have found it difficult to
combine the multi-variate with the dynamic perspective. In 1991, I
contributed a paper to _Social Networks_ 13, 301-345, entitled "The Static
and Dynamic Analysis of Network Data using Information Theory" because I
thought that the way forward was to use entropy statistics. In addition to
being considered as a tool for structural analysis, information theory can
be considered as a calculus.  

In addition to the forward moving of the network, I am also interested in
the backward evaluation because social psychological systems provide meaning
to the events from the perspective of hindsight. The extent to which this
backward feedback influences the evolution of the network, should be
measurable as negative entropy. (Because it defies the second law.) The
contribution of social network analysis -- as different from network
analysis in general --  would particularly be interesting if we were able to
show how negative entropy is self-organized by the communication of meaning
in these networks potentially differently from, for example, biological
ones.

This is a longer-term perspective. Recently, remarkable advancements have
been made in multi-dimensional scaling techniques which allow for the
analytical distinction between stress within each year and stress over the
years. The two can then be used together for the animation. This brings the
integration between the second and the third line of research distinguished
above closer. I recently posted a mail about the animation of journals in
nanotechnology (available at
http://www.leydesdorff.net/journals/nanotech/index.htm ) which uses these
techniques. Although these animations can be played forward and backward,
and one can consequently see the anticipation in some cases, we are, in my
opinion, far from modelling networks among intentional systems, that is
systems which provide meaning to the past, are able to communicate about
meaning, and to anticipate on future events because of this inbuilt
reflexivity.

I hope that this opens up a bit the discussion about how to model networks
among intentional systems. The mutual information in three (or more)
dimensions, in my opinion, provides a measurement instrument for the extent
to which uncertainty can be reduced in such networks. We know from the
theory and computation of anticipatory systems that reflexive systems are
buffering against chaotic phenomena by filtering the variation. 

Best wishes, 


Loet
________________________________

Loet Leydesdorff 
Amsterdam School of Communications Research (ASCoR), 
Kloveniersburgwal 48, 1012 CX Amsterdam. 
Tel.: +31-20- 525 6598; fax: +31-20- 525 3681 
[log in to unmask] ; http://www.leydesdorff.net/ 

 

> -----Original Message-----
> From: Social Networks Discussion Forum 
> [mailto:[log in to unmask]] On Behalf Of Balazs Vedres
> Sent: Friday, January 04, 2008 11:46 AM
> To: [log in to unmask]
> Subject: Re: Triple Helix dynamics in a transition economy (Hungary)
> 
> *****  To join INSNA, visit http://www.insna.org  *****
> 
> An e-mail list is an efficient medium to publicize your 
> paper, but it is a medium that can talk back.
> 
> Since I work on Hungarian business networks, I opened up this 
> PDF with great interest. However, I haven't found a single 
> bit of network analysis in it. 
> 
> The term 'network' is mentioned 12 times, all in the 
> introduction (well, one in the references), unoperationalized 
> in subsequent sections. 
> 
> I think many of us would take issue with the way you imagine 
> networks, and the capabilities of a historical network 
> approach. For example on page 5, second paragraph you say that:
> 
> "The neo-institutional perspective of social network analysis 
> can provide us with a view of the (potentially changing) 
> relations in the districts, but not on the dynamics."
> 
> I think you should revise your lack of confidence in social 
> network analysis in the light of recent publications about 
> large scale historical dynamics of networks. As you say a 
> paragraph later:
> 
> "Relations may function as lock-ins or be beneficial to the 
> dynamics of the system."
> 
> Exactly. This is where a historical network analysis could 
> come in, and pinpoint those lock-ins, and choice points 
> between lock-ins and beneficial dynamics. 
> 
> Best
> Balazs
> 
> >>> Loet Leydesdorff <[log in to unmask]> 01/04/08 10:23 AM >>>
> *****  To join INSNA, visit http://www.insna.org  *****
> 
> Measuring the knowledge base in Hungary: Triple Helix dynamics in a
> transition economy <http://www.leydesdorff.net/hungary_th6/index.htm> 
> 
> Balázs Lengyel * and Loet Leydesdorff **
> 
> How can the knowledge base of a transition economy be 
> measured? Building on
> previous studies in the Netherlands and Germany, we combine 
> the perspective
> of regional economics on the interrelationships among 
> geography, technology,
> and organization with the triple-helix model of
> university-industry-government relations, and use the mutual 
> information in
> three dimensions as an indicator of the configurations. Our 
> data consists of
> firms categorized in terms of sub-regions (proxy for 
> geography), industrial
> sector (proxy for technology), and firm size (proxy for 
> organization). The
> results indicate that the knowledge base of Hungary is strongly
> differentiated in terms of regions. Budapest and its agglomeration are
> central to the country on every indicator. In the 
> north-western part of the
> country, foreign-owned companies and FDI disturb an 
> etastistic triple helix
> dynamics which is still dominant in the eastern part of the country.
> However, the national level seems no longer to add to the 
> synergy among the
> regional innovation systems. Further analysis of the 
> knowledge-intensive
> services and its high-tech components reveals that the 
> transition from the
> planned economy to integration in the European common market 
> is not yet
> completed. 
> 
> <click here for pdf 
> <http://www.leydesdorff.net/hungary_th6/hungary_th6.pdf>
> >
> 
> *     Centre for Regional Studies Budapest Department, 
> Hungarian Academy of
> Sciences, Teréz krt. 13, H- 1067 Budapest, Hungary; e-mail:
> [log in to unmask]
> 
> ** 	Amsterdam School of Communications Research (ASCoR)
> Kloveniersburgwal 48, 1012 CX Amsterdam.
> <mailto:[log in to unmask]> ; http://www.leydesdorff.net/ 
> 
> _____________________________________________________________________
> SOCNET is a service of INSNA, the professional association for social
> network researchers (http://www.insna.org). 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.insna.org). 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
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