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You need not cluster them. If you have a network and an attribute and
what to test whether the pattern in the network is correlated with the
relation "having an equal value on an attribute" use QAP.
Quoting Semenov Alexander <[log in to unmask]>:
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> Once again, hello all!
> I'm conducting network analysis of author/author citation network data. It
> was obtained by checking bibliographies of Russain sociological journals for
> references between St. Petersbourg sogiologists. I have 288x288 symmetric
> weighted adjacency matrix and several actor attributes (age cohort,
> institution, gender).
> My idea is to check, whether their mutual citation patterns coincide with
> their institutional relations. In order to do this, I need to aggregate them
> into clusters, subgroups, cliques etc. So, the question is: what approach
> and method should I use? Should it be cohensive networks or structural
> equivalence? CONCOR, cluster analysis or clique detection methods?
> I've read the articles, found in this listserve's archieve on citation
> network analysis, but they are mostly about co-citation, journal-to-journal
> citation, affiliation networks and so on.
> Any ideas?
> Thanks in advance,
> Alexander Semenov.
> MA student
> Faculty of Sociology
> Moscow School of Social and Economic Sciences (MSSES)
> Graduate Student in Sociology at
> State University - Higher School of Economics
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