ICWSM Presentation

Brian Keegan presented on behalf of the Virtual World Observatory’s gold farming team at the 2011 AAAI International Conference on Weblogs and Social Media (ICWSM). A copy of the paper titled “Trust Amongst Rogues? A Hypergraph Approach for Comparing Clandestine Trust Networks in MMOGs” can be found here and the accompanying slides can be found here. The 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.

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Best Paper at Web Science 2011

A paper authored by members of the Virtual Worlds Observatory team including Brian Keegan, Muhammad Aurangzeb Ahmad, Dmitri Williams, Jaideep Srivastava, and Noshir Contractor won a best paper at the 2011 ACM Web Science conference. The paper is titled “Sic Transit Gloria Mundi Virtuali? Promise and Peril at the Intersection of Computational Social Science and Online Clandestine Organizations.”

Abstract:

 

 

Massively multiplayer online games (MMOGs) maintain archival databases of all player actions and attributes including activity by accounts engaged in illicit behavior. If individuals in online worlds operate under similar social and psychological motivations and constraints as the offline world, online behavioral data could inform theories about offline behavior. We examine high risk trading relationships in a MMOG to illuminate the structures online clandestine organizations employ to balance security with efficiency and compare this to an offline drug trafficking network. This data offers the possibility of performing social research on a scale that would be unethical or impracticable to do in the offline world.However, analyzing and generalizing from clandestine behavior in online settings raises complex epistemological and methodological questions about the validity of such mappings and what methods and metrics are appropriate in these contexts. We conclude by discussing how computational social science can be applied to online and offline criminological concerns and highlight the “dual use” implications of these technologies.

Massively multiplayer online games (MMOGs) maintain archival databases of all player actions and attributes including activity by accounts engaged in illicit [DW1]behavior. If individuals in online worlds operate under similar social and psychological motivations and constraints as the offline world, online behavioral data could inform theories about offline behavior. We examine high risk trading relationships in a MMOG to illuminate the structures online clandestine organizations employ to balance security with efficiency and compare this to an offline drug trafficking network. This data offers the possibility of performing social research on a scale that would be unethical or impracticable to do in the offline world.However, analyzing and generalizing from clandestine behavior in online settings raises complex epistemological and methodological questions about the validity of such mappings and what methods and metrics are appropriate in these contexts. We conclude by discussing how computational social science can be applied to online and offline criminological concerns and highlight the “dual use” implications of these technologies.


[DW1]Rule breaking? Law breaking?

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Giving real-life money to your Second Life friends

Recent research by SONIC undergraduate Nick Merrill and graduate student Brooke Foucault demonstrates that social status within a Second Life group is positively correlated with the donation of in-game resources to one’s group. In Second Life, in-game resources can be traded for real-world money, so this finding indicates that an avatar’s social standing among virtual friends may be strong enough to spur sacrifices in the player’s real-life bank account. Overall, this research shows that traditional models of social giving and altruism may hold in a virtual-world context.

The paper will be presented at the NCA Conference in November.

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Gold farming team wins best paper

The VWO Gold Farming team won the award for Best Paper at the Game Behind the Game conference hosted by Rutgers University’s School of Communication and Information. Our paper was titled “Mapping Gold Farming Back to Offline Clandestine Organizations: Methodological, Theoretical, and Ethical Challenges.” The abstract is below:

“Clandestine”, “covert”, “dark” and “illicit” organizations are primarily characterized by the need to engage in coordination and collective action while also emphasizing secrecy and security (Ayling, 2009). However, empirical analyses of offline clandestine organizations’ structures have received scant attention because traditional data collection is difficult by design. Studies of clandestine organizations employ methods which censor their embeddedness within particular historical contexts and larger licit spheres of  peripheral and legitimate actors. These studies rely on descriptive, single level methods. However, the explosion of behavioral data available in online databases has opened up new avenues of social research. To the extent that individuals in online worlds operate under similar social and psychological motivations and constraints as the offline world, it is possible to use generative models of clandestine networks from online virtual worlds to test and inform theories of clandestine networks in offline contexts (Williams, 2010). We use gold farmers in massively multiplayer online games (MMOGs) as a case to examine how clandestine organizations assemble and maintain their operations in the face of pressure to remain competitive and secret. We review our recent research findings employing methods in network analysis and machine learning to detect and identify gold farmers in a popular MMOG based on distinct structural motifs in trade exchanges, patterns of behavioral similarity, and appropriation of in-game affordances. Although  these findings on virtual clandestine organizations comport with many existing theoretical predictions as well as observations from offline criminal behavior, we discuss how they fail to map from online to offline in other contexts. Finally, we discuss the ethical implications of attempting to develop abstract heuristics for identifying clandestine behavior in data rich contexts and conclude by identifying future directions for analytic and theoretical research.

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ICWSM Paper Acceptance

Muhammad Aurangzeb Ahmad, Brian Keegan, Dmitri Williams, Jaideep Srivastava, and Noshir Contractor had their paper “Trust Amongst Rogues? A Hypergraph Approach for Comparing Clandestine Trust Networks in MMOGs” accepted to the Fifth International AAAI Conference on Weblogs and Social Media (ICWSM). Notably, it is the authors’ first attempt and acceptance for a paper invoking a quote from Shakespeare’s Henry IV, Part I: “A plague upon’t when thieves cannot be true one to another!” – Falstaff, II.ii

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.

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ICA and Sunbelt Conference paper acceptances

We have had papers accepted at the International Communication Association (ICA) and the INSNA Sunbelt conference for research related to team assembly and collaboration on Wikipedia articles about breaking news topics.

Keegan, B., Gergle, D., Contractor, N. (2011). “A Multi-theoretical, Multi-level Model of High Tempo Collaboration in an Online Community.” INSNA Sunbelt XXXI, Tampa, Florida.

Keegan, B. (2011). “Breaking News, Breaking Planes, and Breaking Hearts: Psycholinguistics and Sensemaking in Collaborative Accounts of Catastrophe.” International Communication Association, Boston, MA.

My ICA paper was nominated as a Best Student Paper for the Communication and Technology Division.

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Gold farming conference acceptances

The VWO gold farming team has had several papers accepted for presentation at upcoming conferences.

Keegan, B., Ahmad, M., Williams, D., Srivastava, J., Contractor, N. (2011). “Mapping Gold Farming Back to Offline Clandestine Organizations: Methodological, Theoretical, and Ethical Challenges.” Game Behind the Video Game, Rutgers University, New Brunswick, NJ.

Keegan, B., Ahmad, M., Williams, D., Srivastava, J., Contractor, N. (2011). “Title: Using ERGMs to Map Online Clandestine Behavior to Offline Criminal Activity.” International Network of Social Network Analysis, Sunbelt XXXI, Tampa, FL.

See this and other VWO-related information at the project website.

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