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Current Attitude Prediction Model Based on Game Theory

  • Zhan Bu
  • Chengcui Zhang
  • Zhengyou Xia
  • Jiandong Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8181)

Abstract

Social interactions on online communities involve both positive and negative relationships: people give feedbacks to indicate friendship, support, or approval; but they also express disagreement or distrust of the opinions of others. One’s current attitude to the other user in online communities will be affected by many factors, such as the pre-existing viewpoints towards given topics, his/her recent interactions with others and his/her prevailing mood. In this paper, we develop a game theory based method to analyze the interactive patterns in online communities, which is the first in its kind. The performance of this prediction model has been evaluated by a real-world large-scale comment dataset, and the accuracy reaches 82%.

Keywords

online community relationship current attitude game theory 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Zhan Bu
    • 1
    • 2
  • Chengcui Zhang
    • 2
  • Zhengyou Xia
    • 1
  • Jiandong Wang
    • 1
  1. 1.College of Computer Science and TechnologyNanjing University of Aeronautics and AstronauticsChina
  2. 2.Computer and Information SciencesThe University of Alabama at BirminghamUSA

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