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Twitter social graph
https://github.com/myplanetdigital/hadoop-geekgraph
(Hack/Reduce Toronto)
Check out the presentation on Vimeo
Cleaver Barnes (@cleaverbarnes), Max Brodie (@maxwellbrodie), Shanly Suepaul, Matt MacLean
Cleaver, Max, Shanly and Matt ran their last job while the pitches were already under way.
They analyzed the “connectedness” of various tech communities based on the twitter social graph. It was done by choosing a couple of influencers per community and a person was determined to be part of the community if he followed any of the influencers of that community. For example, John Resig was a community leader in jQuery. You can check out the results in the video.
(Hack/Reduce Boston)
https://github.com/gregsabo/twitterrecommend
Team: Pete Kruskall, Cinjon Resnick, Greg Sabo, Thierry Bertin-Mahieux , Bruce spang, Rob Speer, Thor Kell, William Dvorak, Nadav Aharony
Team 1 worked on a couple of different projects with the Million Song Dataset. They created nice looking visualizations of clusters of Musicians by merging the Million Song Dataset and the Twitter social graph dataset. They also calculated the similarity between twitter handles of musicians based on who they followed and created nice dynamic visualizations of the relationships.