New project

Like there's not enough going on in my life with the internship, netflix challenge, pico and (re-)learning analysis now I'm gonna try to do some work on deriving social networks from a two dimensional data set. The idea is to look for actors working in coordination and build out nodes in a social graph based on their coordination. Then rebuild a two dimensional data set based on that graph and do it again until you can't orthogonalize the data set anymore. What results should be an approximation for the information network used to move data between all the actors. Maybe.

So the question is, for all two of you reading this blog. What's out there in the literature about this sort of thing. Other than my alma mater who's trying to build social networks from indirect measures, rather than just interviews?

The topic will be picked up again in the near future.