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Realizing the Value of Social Media Requires Innovative Computing Research


visualization of Twitter user connections

Connections among Twitter users who recently mentioned GOP when queried on July 25, 2011, with vertices scaled by numbers of followers. The clusters are created by the patterns of connections (follows, replies, and mentions) among the authors in the graph. The clusters were based on Clauset-Newman-Moore algorithmic analysis in which the red cluster is composed of largely GOP supporters, while the blue cluster contains largely critics and opponents of the GOP as indicated by the content of the tweets from each cluster. Other colored or shaped nodes are not strongly affiliated with either major cluster. Users on the bottom are not connected with any of the other Twitter users.

Visualization by Marc A. Smith using NodeXL; http://www.codeplex.com/nodexl

How social media are expanding traditional research and development topics for computer and information scientists.


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