Combating behavioral deviance via user behavior control

Chenxi Qiu, Anna Squicciarini, Christopher Griffin, Prasanna Umar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Compared to traditional behavioral deviance, online deviant behavi or (like cyberbullying) is more likely to spread over online social communities since it is not restricted by time and space, and can occur more frequently and intensely. To control risks associated with the spread of deviant and anti-normative behavior, it is ess ential to understand online users' reaction when they interact with other users. In this paper, we model online users' behavior interaction as an evolutionary game on a graph and analyze users' behavior dynamics under different network conditions. Based on this theoretical framework, we then investigate behavior control strategies that aim to eliminate behavioral deviance. Finally, we use a real world dataset from a social network to verify the accuracy of our model's hypothesis. We also and test the performance of our beh avior control strategy through simulations based on both real and synthetically generated data. The experimental results demonstrate that our behavior control methods can effectively eliminate the impact of bullying behavior even when the proportion of bullying messages is higher than 60%.

Original languageEnglish (US)
Title of host publication17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages202-210
Number of pages9
ISBN (Print)9781510868083
StatePublished - 2018
Event17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018 - Stockholm, Sweden
Duration: Jul 10 2018Jul 15 2018

Publication series

NameProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Volume1
ISSN (Print)1548-8403
ISSN (Electronic)1558-2914

Other

Other17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018
Country/TerritorySweden
CityStockholm
Period7/10/187/15/18

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software
  • Control and Systems Engineering

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