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Active Microbloggers: Identifying Influencers, Leaders and Discussers in Microblogging Networks

  • Lamjed Ben Jabeur
  • Lynda Tamine
  • Mohand Boughanem
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7608)

Abstract

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.

Keywords

Social Network Normalize Discount Cumulative Gain Super Bowl Social Network Model Normalize Discount Cumulative Gain 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Lamjed Ben Jabeur
    • 1
  • Lynda Tamine
    • 1
  • Mohand Boughanem
    • 1
  1. 1.IRITUniversity of Paul SabatierToulouse Cedex 9France

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