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TwiCube: A Real-Time Twitter Off-Line Community Analysis Tool

  • Juan Du
  • Wei Xie
  • Cheng Li
  • Feida Zhu
  • Ee-Peng Lim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7826)

Abstract

As a micro-blogging service, Twitter differs from other social network services in two ways: 1) the absence of mutual consent in establishing follow links and 2) being a mixture of news media and social network. A key question to ask in better understanding Twitter user behavior is which part of a user’s Twitter network reflects one’s real-life social network. TwiCube is an online tool that employs a novel algorithm capable of identifying a user’s real-life social community, which we call the user’s off-line community, purely from examining the link structure among the user’s followers and followees. Based on the identified off-line community, TwiCube provides a summary of the user’s interests, tweeting habits and neighborhood popularity analysis. Evaluations from real Twitter users demonstrate that our off-line community detection approach achieves high precision and recall in most cases.

Keywords

News Medium Target User User Interest Twitter User Twitter Account 
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 2013

Authors and Affiliations

  • Juan Du
    • 1
  • Wei Xie
    • 1
  • Cheng Li
    • 1
  • Feida Zhu
    • 1
  • Ee-Peng Lim
    • 1
  1. 1.School of Information SystemSingapore Management UniversitySingapore

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