Who's the Most Influential in a Social Graph?

Determining the most influential person on a social media network is complex. Thousands of users are interacting about a single subject at the same time. New people are constantly joining the streaming conversation. Georgia Tech has developed a new algorithm that quickly determines betweenness centrality for streaming graphs. The algorithm can identify influencers as information changes within a network. The first-of-its-kind streaming tool was presented this week at the Social Computing Conference in Amsterdam.

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