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David,
Your question about what cohesion means is interesting, because it leads to
what time means. Assuming that the points in time are sparse enough to see
changes in group composition, I think analyzing the time-collapsed dataset
is an interesting idea.
Although in that case two different processs would look the same:
1. one set of nodes are connected only as dyadic components, at different
points in time, that looks as a cohesive group in the collapsed data
2. another set of nodes are connected into a cohesive group at one point in
time (at the same point in time).
Thanks!
Balazs
> -----Original Message-----
> From: Social Networks Discussion Forum
> [mailto:[log in to unmask]] On Behalf Of David Gibson
> Sent: Tuesday, December 20, 2005 8:57 AM
> To: [log in to unmask]
> Subject: Re: cohesion in a dynamic network
>
> ***** To join INSNA, visit http://www.insna.org *****
>
> 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:
> > ***** To join INSNA, visit http://www.insna.org *****
> >
> > 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/
>
> _____________________________________________________________________
> SOCNET is a service of INSNA, the professional association
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