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

Thanks to Jim for mentioning our methodology for identifying communities 
across multiple times (and/or multiple scales, types of connections). 
The reference is

Mucha, Peter J, Thomas Richardson, Kevin Macon, Mason A. Porter, and 
Jukka-Pekka Onnela. 2009. Community Structure in Time-Dependent, 
Multiscale, and Multiplex Networks. submitted. 
http://arxiv.org/abs/0911.1824.

This is of course not the only way to study communities in dynamic 
data---see the reviews previously mentioned in this thread---but it has 
the property of being intimately related to the existing modularity 
methodologies for community detection, which is IMHO nice for many 
circumstances.

Peter

-- 
Peter J. Mucha, Associate Professor
Department of Mathematics
Carolina Center for Interdisciplinary Applied Mathematics
Institute for Advanced Materials, Nanoscience and Technology
The University of North Carolina at Chapel Hill
Campus Box #3250, UNC, Chapel Hill, NC 27599-3250
Phone: 919/843-2550, Fax: 919/962-9345, Office: 304B Phillips Hall
[log in to unmask], http://www.unc.edu/~mucha

_____________________________________________________________________
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.