Discovering leaders from community actions
Proceedings of the 17th ACM conference on Information and knowledge management
TwitterRank: finding topic-sensitive influential twitterers
Proceedings of the third ACM international conference on Web search and data mining
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
Ranking Approaches for Microblog Search
WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Identifying topical authorities in microblogs
Proceedings of the fourth ACM international conference on Web search and data mining
Identifying agitators as important blogger based on analyzing blog threads
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
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This paper presents a social approach for identifying key actors in microblogging social network. In particular, we propose three specific link analysis algorithms called InfRank, LeadRank and DiscussRank that identify influencers, leaders and discussers, respectively. Conducted experiments on TREC 2011 Microblog dataset, show that the proposed algorithms outperform close microblogger ranking approaches.