Empirical Analysis on the Users’ Reply Behaviors of Online Forums

  • Guirong Chen
  • Wandong Cai
  • Aiwang Chen
  • Huijie Xu
  • Rong Wang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 279)


Quantitative understanding of human behaviors is of huge significance to uncover the origins of many social and economic phenomena. This paper focuses on users’ reply behaviors of online forums. The statistical results show that users’ one-day activities and one-post interests both follow heavy-tailed distribution not only on population level but also on individual level. Specifically, we found that users’ one-day activities obey a power law distribution with exponential cutoff and users’ one-post interests obey a power law distribution. Further, we observe a positive correlation between users’ total activities and the power law exponents of one-day activities. In addition, we study the content scatter degree of users’ one-day replies and the time scatter degree of users’ one-post replies, and find some suspicious user behaviors, which provide new clues to the detection of cyber-space hype and network water army.


Empirical Analysis Reply Behavior Heavy-tailed Distribution BBS 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Guirong Chen
    • 1
  • Wandong Cai
    • 1
  • Aiwang Chen
    • 2
  • Huijie Xu
    • 1
  • Rong Wang
    • 2
  1. 1.School of Computer ScienceNorthwestern Polytechnical UniversityXi,anPeople’s Republic of China
  2. 2.School of Information and NavigationAir Force Engineering University of PLXi,anPeople’s Republic of China

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