Predicting Retweet Behavior in Weibo Social Network

  • Hongbo Zhang
  • Qun Zhao
  • Hongyan Liu
  • Ke xiao
  • Jun He
  • Xiaoyong Du
  • Hong Chen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7651)

Abstract

Retweeting ensures the information diffusion in micro-blog services. By this simple way, it is convenient for a user to share and spread interesting information in the whole network. In this paper, we consider many features to compute the probability that a user retweets a tweet. With the probability, we build a retweet model to predict the number of possible-views of a tweet. The model is based on the theory of random walks. Experiments conducted on real dataset show that the proposed method has a good performance than the traditional prediction methods.

Keywords

social network Weibo retweet random walks 

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References

  1. 1.
    Yang, J., Counts, S.: Predicting the Speed, Scale, and Range of Information Diffusion in Twitter. In: ICWSM (2010)Google Scholar
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    Bongwon, S., Lichan, H., Pirolli, P., Chi, E.H.: Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network. Social Computing (2010)Google Scholar
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    Wang, W., Wu, B.: Comparing Twitter and Chinese Native Microblog. In: EWI (2011)Google Scholar
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    Yang, Z., Guo, J., Cai, K., Tang, J., Li, J., Zhang, L., Su, Z.: Understanding retweeting behaviors in social networks. In: CIKM, pp. 1633-1636 (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Hongbo Zhang
    • 1
    • 2
  • Qun Zhao
    • 1
    • 2
  • Hongyan Liu
    • 3
  • Ke xiao
    • 2
  • Jun He
    • 1
    • 2
  • Xiaoyong Du
    • 1
    • 2
  • Hong Chen
    • 1
    • 2
  1. 1.Key Labs of Data Engineering and Knowledge EngineeringMinistry of EducationChina
  2. 2.School of InformationRenmin University of ChinaChina
  3. 3.School of Economics and ManagementTsinghua UniversityChina

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