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I'm using an agent based dimension reduction method to reduce a
directed social graph to two dimensions -- here's the library i'm
The social map represents twitter links and cluster together users who frequently interact.
I was interested to learn which algorithm is used for performing the clustering, and here is what I got from Andreas Noack, the creator of the linloglayout package:
The algorithm resembles force simulation algorithms from physics, though not exactly spring relaxation. I have not published a description, but it is similar to the FADE algorithm, which again is based on the Barnes-Hut algorithm.
While the social map activity does not currently use GraphLab, previously Timmy used GraphLab for performing community detection in twitter social graph. He also contributed some datasets to be played with. Thanks Timmy for the updates!