Guilt by association? Network based propagation approaches for gold farmer detection

Muhammad Aurangzeb Ahmad, Brian Keegan, Atanu Roy, Dmitri Williams, Jaideep Srivastava, Noshir Contractor

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

1 Citation (Scopus)

Abstract

The term 'Gold Farmer' refers to a class of players in massive online games (MOGs) involved in a set of interrelated activities which are considered to be deviant activities. Consequently these gold farmers are actively banned by game administrators.The task of gold farmer detection is to identify gold farmers in a population of players but just like other clandestine actors they not labeled as such. In this paper the problem of extending the label of gold farmers to players which are not labeled as such is considered. Two main classes of techniques are described and evaluated: Network-based approaches and similarity based approaches. It is also explored how dividing the problem further by relabeling the data based on behavioral patterns can further improve the results

Original languageEnglish
Title of host publicationProceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013
PublisherAssociation for Computing Machinery
Pages121-126
Number of pages6
ISBN (Print)9781450322409
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013 - Niagara Falls, ON, Canada
Duration: 25 Aug 201328 Aug 2013

Other

Other2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013
CountryCanada
CityNiagara Falls, ON
Period25/8/1328/8/13

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

Cite this

Ahmad, M. A., Keegan, B., Roy, A., Williams, D., Srivastava, J., & Contractor, N. (2013). Guilt by association? Network based propagation approaches for gold farmer detection. In Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013 (pp. 121-126). Association for Computing Machinery. https://doi.org/10.1145/2492517.2492649

Guilt by association? Network based propagation approaches for gold farmer detection. / Ahmad, Muhammad Aurangzeb; Keegan, Brian; Roy, Atanu; Williams, Dmitri; Srivastava, Jaideep; Contractor, Noshir.

Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013. Association for Computing Machinery, 2013. p. 121-126.

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

Ahmad, MA, Keegan, B, Roy, A, Williams, D, Srivastava, J & Contractor, N 2013, Guilt by association? Network based propagation approaches for gold farmer detection. in Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013. Association for Computing Machinery, pp. 121-126, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013, Niagara Falls, ON, Canada, 25/8/13. https://doi.org/10.1145/2492517.2492649
Ahmad MA, Keegan B, Roy A, Williams D, Srivastava J, Contractor N. Guilt by association? Network based propagation approaches for gold farmer detection. In Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013. Association for Computing Machinery. 2013. p. 121-126 https://doi.org/10.1145/2492517.2492649
Ahmad, Muhammad Aurangzeb ; Keegan, Brian ; Roy, Atanu ; Williams, Dmitri ; Srivastava, Jaideep ; Contractor, Noshir. / Guilt by association? Network based propagation approaches for gold farmer detection. Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013. Association for Computing Machinery, 2013. pp. 121-126
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