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I'm familiar with the standard network tools for identifying cliques
and equivalent sets. However, I was wondering if anyone has done any
previous work on establishing global measures for "cliquishness" or
"equivalence".

For example, the existence of a few, large, strong cliques does not
necessitate that the network as a whole could accurately be described
as "cliquish", or that that the average actor was "cliquish".
Alternately, the presence of some strong equivalencies does not
necessarily mean that the overall network could fairly be described
by the behaviors/ structures so identified.

However, I am thinking it might be useful to be able to describe
global measures for such things. Perhaps, cliquishness= the
percentage of network actors that belong to identified cliquesets?
global equivalency = the percentage of network actors that belong to
identified structural/regular/eigenvector equivalent sets?

I'll be interested in everybody's thoughts and/or citations.

Thanks-

Guy Hagen, President
Innovation Insight, Inc.
contact information: http://innovationinsight.com/contact.php

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