You already may know these but I suggest following references.
One paper I have in mind is Powell et. al paper which analyze the evolution
of biotechnology networks.
Powell, W. W., White, D. R., Koput, K. W., & Owen-Smith, J. (2003). Network
Dynamics and Field Evolution: The Growth of Interorganizational
Collaboration in the Life Sciences. SantaFe Working paper series #:
03-02-004.
The other good data would be James Moody's analysis of drug network in
Colorado Spring.
http://www.ima.umn.edu/talks/workshops/11-17-21.2003/moody/moody.ppt
Also regarding the visualization techniques, you may refer to Moody, James,
Daniel A. McFarland and Skye Bender-DeMoll "Dynamic Network Visualization:
Methods for Meaning with Longitudinal Network Movies" American Journal of
Sociology 110:1206-1241.
You will also have no difficulty in finding dynamic network simulation data
and methods in physics, computer and natural science areas.
Bests,
Kilkon Ko
--Kilkon Ko, PhD.
Assistant Professor
Department of Political Science,
National University of Singapore
AS1, #04-36
11 Arts Link
Singapore 117570
Tel: 65-6516-6208
Fax: 65-6779-6815
On Tue, Aug 12, 2008 at 11:08 PM, Sampson, Ginger [USA] <
[log in to unmask]> wrote:
> Hello POLMETH listserv,
>
>
> For a research project, I am looking to find sample data sets for
> dynamic networks or time-series data to use for exploring techniques for
> managing time-series network data.
>
>
>
> (1) Does anyone know of available dynamic network or time-series data
> sets for networks with a large number of actors greater than 500 or
> 1000?
>
> (2) Does anyone know of a study that used dynamic network or time-series
> data?
>
> (3) Does anyone have suggestions for which SNA/RNA measures or
> methodologies work best to segment large networks into target sub-groups
> of interest?
>
>
>
> Much thanks!
>
> Ginger Sampson
>
>
> ________________________
> Ginger Sampson
> Office: 703-377-7309
> Cell: 202-744-1701
> Email: [log in to unmask]
>
>
>
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