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Balazs,

First you have to ask what cohesion means in dynamic data. Your 
formulation "common history of cohesion" would probably lead most of us 
to simply sum instances of dyadic contact (I take your data to be in 
some way episodic) to create a time-collapsed snapshot, on which 
standard subgroup analyses can be performed. The interesting 
complication is that a group can be "actually" cohesive and yet not act 
that way over shorter or longer periods, if you permit a distinction 
between latent or propensity ties and enacted ties and recognize that 
the latter are subject to constraints such as those considered in

Gibson, David R. 2005. "Concurrency and Commitment: Network Scheduling 
and its Consequences for Diffusion." Journal of Mathematical Sociology 
29:295-323

David

Balazs Vedres wrote:
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>
> Dear Socnetters,
>
> I wonder if anyone had experience with identifying cohesive groups in
> dynamic network data. 
> How would you identify a group as a common history of cohesion rather than a
> cohesive subset in a network snapshot?
>
> Any comments are appreciated,
>
> Best
> Balazs
>
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-- 

David Gibson

Assistant Professor

Department of Sociology

University of Pennsylvania

3718 Locust Walk

Philadelphia, PA 19104-6299

 

http://www.soc.upenn.edu/~gibsond/

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