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You might be interested in a recent paper by Peter Hoff, Adrian Raftery and
myself (cited below). It is basically a form of model-based MDS that has at its
heart Procrustean adjustment. It has the nice featue of quantifying the
uncertainty in the (Procrustean) locations and producing clear visualizations of
The paper describes the algorithm in detail and it is pretty easy to code up in
Latent space approaches to social network analysis
Hoff PD, Raftery AE, Handcock MS
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
97 (460): 1090-1098 DEC 2002
Mark S. Handcock
Professor of Statistics and Sociology
Department of Statistics, C014-B Padelford Hall
University of Washington, Box 354322 Phone: (206) 221-6930
Seattle, WA 98195-4322. FAX: (206) 685-7419
internet: [log in to unmask]
----- Original Message -----
From: "Balazs Vedres" <[log in to unmask]>
To: <[log in to unmask]>
Sent: Tuesday, February 11, 2003 2:07 PM
Subject: Procrustean analysis and visualizing network dyanmics?
> ***** To join INSNA, visit http://www.sfu.ca/~insna/ *****
> Dear SOCNETters,
> I wonder how SNA packages will move to finally embrace and serve growing
> interest in network dynamics. Especially in visualization I get little
> help from the otherwise (more and more) terrific packages:
> UCINET, NETDRAW and PAJEK.
> A first step that I would find very useful would be to incorporate
> procrustean analysis (or adjustment) into multidimensional scaling (or
> spring embedder) modules that are part of each of these packages.
> Procrustean adjustment would enable those interested in drawing networks
> (of more or less the same actors) in consecutive time periods to see the
> effect of network change on graphs, and filter out the effect of
> contingency (by invariant transformations).
> Is there any package that is able to accomplish this?
> I know that there are some now pretty antique MDS packages that do
> procrustean analysis. Would UCINET, NETDRAW, PAJEK or other packages
> move this way? Or is there some other way?
> Balazs Vedres
> Balazs Vedres
> Ph D student, Sociology
> Columbia University
> mailto:[log in to unmask]
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> office fax: (+212) 854-2963
> home ph.: (+212) 666-3170
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