***** To join INSNA, visit http://www.insna.org ***** Hello everybody,
I have a question regarding the following article: "The Social Semantics of LiveJournal FOAF: Structure and Change from 2004 to 2005" (http://www.scribd.com/doc/353326/The-Social-Semantics-of-LiveJournal-FOAF-Structure-and-Change-from-2004-to-2005). I've already addressed it to the authors, but, unfortunatelly they didn't respond.
In short, they used Principle Component Analysis (PCA) to correlate top500 users with top500 interests from a sample of LJ-users. Their results demonstrated, that there is no correlation between them. As far as I understand, it means that people's choise for friends is independent from their interests. So, can we say, that it means lack of homophily in this set of bloggers? And, more general, can we use PCA to make such inference?
This summer I've been in Essex Summer School and took 2 advanced courses in SNA, but as far as I understood it is resourse demanding to run any homophily tests on a set of 1200 nodes (not talking about ergm). Am I rite?
Thanks in advance.
Best regards,

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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