Trust Amongst Rogues? A Hypergraph Approach for Comparing Clandestine Trust Networks in MMOGs

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

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

14 Scopus citations

Abstract

Gold farming and real money trade refer to a set of illicit practices in massively multiplayer online games (MMOGs) whereby players accumulate virtual resources to sell for “real world” money. Prior work has examined trade relationships formed by gold farmers but not the trust relationships which exist between members of these organizations. We adopt a hypergraph approach to model the multi-modal relationships of gold farmers granting other players permission to use and modify objects they own. We argue these permissions reflect underlying trust relationships which can be analyzed using network analysis methods. We compare farmers’ trust networks to the trust networks of both unidentified farmers and typical players. Our results demonstrate that gold farmers’ networks are different from trust networks of normal players whereby farmers trust highly-central non-farmer players but not each other. These findings have implications for augmenting detection methods and re-evaluating theories of clandestine behavior.

Original languageEnglish (US)
Title of host publicationProceedings of the 5th International AAAI Conference on Weblogs and Social Media, ICWSM 2011
PublisherAAAI press
Pages10-17
Number of pages8
ISBN (Electronic)9781577355052
StatePublished - Jul 17 2011
Event5th International AAAI Conference on Weblogs and Social Media, ICWSM 2011 - Barcelona, Spain
Duration: Jul 17 2011Jul 21 2011

Publication series

NameProceedings of the 5th International AAAI Conference on Weblogs and Social Media, ICWSM 2011

Conference

Conference5th International AAAI Conference on Weblogs and Social Media, ICWSM 2011
Country/TerritorySpain
CityBarcelona
Period7/17/117/21/11

Bibliographical note

Publisher Copyright:
Copyright © 2011, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.

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