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

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

doi:10.1145/2492517.2492649

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

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

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

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 language	English (US)
Title of host publication	Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013
Publisher	Association for Computing Machinery
Pages	121-126
Number of pages	6
ISBN (Print)	9781450322409
DOIs	https://doi.org/10.1145/2492517.2492649
State	Published - 2013
Event	2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013 - Niagara Falls, ON, Canada Duration: Aug 25 2013 → Aug 28 2013

Publication series

Name	Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013

Other

Other	2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013
Country/Territory	Canada
City	Niagara Falls, ON
Period	8/25/13 → 8/28/13

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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). (Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013). 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 et al.
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 (Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference 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. 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, 8/25/13. 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. (Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013). doi: 10.1145/2492517.2492649

Ahmad, Muhammad Aurangzeb ; Keegan, Brian ; Roy, Atanu et al. / 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 (Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013).

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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",

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AU - Contractor, Noshir

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

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