The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Identifying the influential bloggers in a community
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter
HICSS '10 Proceedings of the 2010 43rd Hawaii International Conference on System Sciences
Everyone's an influencer: quantifying influence on twitter
Proceedings of the fourth ACM international conference on Web search and data mining
(How) will the revolution be retweeted?: information diffusion and the 2011 Egyptian uprising
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
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Recent international events surrounding contentious political environments have uncovered a new utility for social media. Communities now use resources such as Facebook and Twitter to quickly spread information and project influence amongst potentially geographically disparate people. In this work, we investigate Twitter activity in Egypt during the 2011 protests and revolution, and introduce a model to automatically ascertain key individuals within these networks. The model takes advantage of a more sparse network on Twitter than the traditional follower/following network by leveraging direct communications. Furthermore, we employ a measure of alpha centrality, which incorporates both directionality of network connections and a measure of external importance. The model is applied to topic-based communities within Twitter rather than previously introduced measures of influence that focus on the cascading spread of single messages or broad, topic-invariant measures. Results indicate a model successful at automatically identifying users that are active and influential within a given community, agreeing well with heuristics and comparable to other influence models but with particular advantages such as tunability and robustness to incomplete data.