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Issue No. 01 - Jan.-Feb. (2016 vol. 31)
ISSN: 1541-1672
pp: 24-30
Lei Li , Hefei University of Technology
Jianping He , Hefei University of Technology
Meng Wang , Hefei University of Technology
Xindong Wu , Hefei University of Technology
The essence of social networks is that they can influence people's public opinions and group behaviors form quickly. Negative group behavior influences societal stability significantly, but existing behavior-induction approaches are too simple and inefficient. To automatically and efficiently induct behavior in social networks, this article introduces trust agents and designs their features according to group behavior features. In addition, a dynamics control mechanism can be generated to coordinate participant behaviors in social networks to avoid a specific restricted negative group behavior.
Social network services, Behavioral science, Web services, Intelligent systems, Trust management

L. Li, J. He, M. Wang and X. Wu, "Trust Agent-Based Behavior Induction in Social Networks," in IEEE Intelligent Systems, vol. 31, no. 1, pp. 24-30, 2016.
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