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This is a Berkman Klein alum page. The information below may be out of date.

Brian Keegan

Brian Keegan is a computational social scientist and post-doctoral fellow at Northeastern University. He is also an affiliate at the Berkman Center for Internet & Society and Institute for Quantitative Social Science at Harvard University. His research examines how temporary online organizations emerge, stabilize, dissolve, and regenerate. He uses methods in network analysis, multilevel statistics, and data visualization to analyze large databases of social behavior such as Wikipedia article revision histories, anonymized Threadless users behavior, and player interactions in massively multiplayer online games.

Brian holds a PhD and Masters degree from the Northwestern University's program in Media, Technology, and Society. He was jointly advised by Noshir Contractor and Darren Gergle and his committee members included Brian Uzzi and Daniel Gruber. He received bachelors degrees in Mechanical Engineering and Science, Technology, and Society from MIT in 2006.

His dissertation examined how Wikipedia users collaborated to cover breaking news events around natural disasters, accidents, and political change. This project has implications for supporting high-tempo online peer production in contexts like disaster response and national security. Brian's also researches the social organization of online clandestine activity like gold farmers in massively multiplayer online games and the structure of collaborations in creative crowdsourcing sites like Threadless.

Brian has published and presented over a dozen articles in a variety of journals and conferences such as American Behavioral Scientist, New Media & Society, ACM Computer Supported Cooperative Work, AAAI Weblogs and Social Media, and IEEE Social Computing as well as receiving best paper recognition from the International Communication Association, ACM Web Science, and ACM Computer Supported Cooperative Work.