Epidemic behavior of negative users in online social sites

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

1 Scopus citations

Abstract

With the increasing popularity of user-contributed sites, the phenomenon of "social" pollution, the presence of abusive posts has become increasingly prevalent. In this paper, we describe a novel approach to explain and predict negative behavior spreading dynamics in online social networks by us- ing well-known epidemic models. We show how using pure and hybrid models, it is possible not only to explain the phenomenon of abusiveness in certain online commentaries, but also that it is possible to predict these behavioral pat- terns with properly defined hybrid models. We summarize our results on a large set of experiments on Youtube com- mentaries, and show how the different epidemic patterns of behavior are tied to specific interaction patterns among users.

Original languageEnglish (US)
Title of host publicationCODASPY 2015 - Proceedings of the 5th ACM Conference on Data and Application Security and Privacy
PublisherAssociation for Computing Machinery, Inc
Pages143-145
Number of pages3
ISBN (Electronic)9781450331913
DOIs
StatePublished - Jan 1 2015
Event5th ACM Conference on Data and Application Security and Privacy, CODASPY 2015 - San Antonio, United States
Duration: Mar 2 2015Mar 4 2015

Other

Other5th ACM Conference on Data and Application Security and Privacy, CODASPY 2015
CountryUnited States
CitySan Antonio
Period3/2/153/4/15

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Software
  • Computer Science Applications

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    Liao, C., Squicciarini, A., & Griffin, C. (2015). Epidemic behavior of negative users in online social sites. In CODASPY 2015 - Proceedings of the 5th ACM Conference on Data and Application Security and Privacy (pp. 143-145). Association for Computing Machinery, Inc. https://doi.org/10.1145/2699026.2699129