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Volume 39 Issue 9
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Article Navigation >  Journal of Electronics & Information Technology  > 2017  >  39(9): 2108-2118
LI Lei, WANG Meng, WU Xindong. Social Network Based Social Behavior Analysis[J]. Journal of Electronics & Information Technology, 2017, 39(9): 2108-2118. doi: 10.11999/JEIT161273
Citation: LI Lei, WANG Meng, WU Xindong. Social Network Based Social Behavior Analysis[J]. Journal of Electronics & Information Technology, 2017, 39(9): 2108-2118. doi: 10.11999/JEIT161273
shu

Social Network Based Social Behavior Analysis

doi: 10.11999/JEIT161273
  • 1.

    (School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230009, China)

  • 2.

Funds:

The National 973 Program of China (2013CB329604), The National Key Research and Development Program of China (2016YFB1000901), The National Natural Science Foundation of China (61503114)

  • Received Date: 2016-11-24
  • Rev Recd Date: 2017-04-28
  • Publish Date: 2017-09-19
    Abstract
  • Recently, social network applications develop dramatically. Social network related social behaviors are one of the most important areas, which receive broadly attentions from researchers in academics. This survey paper analyzes the social behaviors comprehensively with respect to the causes of social behaviors, the performance of social behaviors and the influence of social behaviors. More specifically, after analyzing the basic concepts of behaviors in social networks, the three most important causes of behaviors in social networks are firstly introduced, such as user adoption, user loyalty and user trust. With these causes, the performance of user behaviors in social networks can be analyzed with respect to three common behaviors, including general usage behaviors, content creation behaviors and content consumption behaviors. Finally, the research on the influence of social network behaviors is presented, which includes the most important aspects, such as influence evaluation and behavior induction. The systematical analysis of social behaviors points out the future directions of related research in next steps.
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