research-article

What can gold farmers teach us about criminal networks?

Authors:

Brian Keegan,

Muhammad Aurangzeb Ahmad,

Dmitri Williams,

Jaideep Srivastava,

Noshir ContractorAuthors Info & Claims

XRDS: Crossroads, The ACM Magazine for Students, Volume 17, Issue 3

Pages 11 - 15

https://doi.org/10.1145/1925041.1925043

Published: 01 March 2011 Publication History

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Abstract

By observing how covert financial networks operate in online games like World of Warcraft, we can learn about how they might function offline.

References

[1]

Williams, D. The mapping principle and a research framework for virtual worlds. Communication Theory, 202010), 451--470.

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Castronova, E., Williams, D., Shen, C., Ratan, R., Xiong, L., Huang, Y. and Keegan, B. As real as real? Macroeconomic behavior in a large-scale virtual world. New Media & Society 11, 5 (2009), 685.

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Heeks, R. Current Analysis and Future Research Agenda on "Gold Farming": Real World Production in Developing Countries for the Virtual Economies of Online Games. Institute for Development Policy and Management, University of Mancester, 2008.

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Lehtiniemi, T. How big is the RMT market anyway. Virtual Economy Research Network, (Mar. 2 2007).

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Ahmad, M. A., Keegan, B., Srivastava, J., Williams, D. and Contractor, N. Mining for Gold Farmers: Automatic Detection of Deviant Players in MMOGs, 2009.

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Keegan, B., Ahmad, M., Williams, D., Srivastava, J. and Contractor, N. Dark Gold: Statistical Properties of Clandestine Networks in Massively Multiplayer Online Games. IEEE, 2010.

Digital Library

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Morselli, C., Giguère, C. and Petit, K. The efficiency/ security trade-off in criminal networks. Social Networks 29, 1 (2007), 143-153.

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Cited By

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Chew M(2022)Chinese Gold-Farming in the 2000s: Worker Empowerment and Local Development Through Video Games-Based Digital LaborGames and Culture10.1177/1555412022113445918:6(783-803)Online publication date: 17-Nov-2022
https://doi.org/10.1177/15554120221134459
Bacovsky P(2020)Gaming alone: Videogaming and sociopolitical attitudesNew Media & Society10.1177/146144482091041823:5(1133-1156)Online publication date: 7-Mar-2020
https://doi.org/10.1177/1461444820910418
Bancroft ABancroft A(2019)Crime Is as Smart and as Dumb as the InternetThe Darknet and Smarter Crime10.1007/978-3-030-26512-0_1(1-22)Online publication date: 30-Oct-2019
https://doi.org/10.1007/978-3-030-26512-0_1
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What can gold farmers teach us about criminal networks?

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Published In

cover image XRDS: Crossroads, The ACM Magazine for Students

XRDS: Crossroads, The ACM Magazine for Students Volume 17, Issue 3

The Fate of Money

Spring 2011

34 pages

ISSN:1528-4972

EISSN:1528-4980

DOI:10.1145/1925041

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 March 2011

Published in XRDS Volume 17, Issue 3

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Chew M(2022)Chinese Gold-Farming in the 2000s: Worker Empowerment and Local Development Through Video Games-Based Digital LaborGames and Culture10.1177/1555412022113445918:6(783-803)Online publication date: 17-Nov-2022
https://doi.org/10.1177/15554120221134459
Bacovsky P(2020)Gaming alone: Videogaming and sociopolitical attitudesNew Media & Society10.1177/146144482091041823:5(1133-1156)Online publication date: 7-Mar-2020
https://doi.org/10.1177/1461444820910418
Bancroft ABancroft A(2019)Crime Is as Smart and as Dumb as the InternetThe Darknet and Smarter Crime10.1007/978-3-030-26512-0_1(1-22)Online publication date: 30-Oct-2019
https://doi.org/10.1007/978-3-030-26512-0_1
Kolen JSardari MMattar MPeterson NWu MMcIlraith SWeinberger K(2018)Horizontal scaling with a framework for providing AI solutions within a game companyProceedings of the Thirty-Second AAAI Conference on Artificial Intelligence and Thirtieth Innovative Applications of Artificial Intelligence Conference and Eighth AAAI Symposium on Educational Advances in Artificial Intelligence10.5555/3504035.3504976(7680-7687)Online publication date: 2-Feb-2018
https://dl.acm.org/doi/10.5555/3504035.3504976
Chun SChoi DHan JKim HKwon TChampin PGandon FMédini LLalmas MIpeirotis P(2018)Unveiling a Socio-Economic System in a Virtual WorldProceedings of the 2018 World Wide Web Conference10.1145/3178876.3186173(1929-1938)Online publication date: 10-Apr-2018
https://dl.acm.org/doi/10.1145/3178876.3186173
Bainbridge W(2018)Gaming and Virtual WorldsEncyclopedia of Social Network Analysis and Mining10.1007/978-1-4939-7131-2_65(907-917)Online publication date: 12-Jun-2018
https://doi.org/10.1007/978-1-4939-7131-2_65
Kwon HMohaisen AWoo JKim YLee EKim H(2017)Crime Scene ReconstructionIEEE Transactions on Information Forensics and Security10.1109/TIFS.2016.262358612:3(544-556)Online publication date: 1-Mar-2017
https://dl.acm.org/doi/10.1109/TIFS.2016.2623586
Saberi MMahmassani HBrockmann DHosseini A(2016)A complex network perspective for characterizing urban travel demand patterns: graph theoretical analysis of large-scale origin–destination demand networksTransportation10.1007/s11116-016-9706-644:6(1383-1402)Online publication date: 14-May-2016
https://doi.org/10.1007/s11116-016-9706-6
Bainbridge W(2016)Gaming and Virtual WorldsEncyclopedia of Social Network Analysis and Mining10.1007/978-1-4614-7163-9_65-1(1-11)Online publication date: 10-Dec-2016
https://doi.org/10.1007/978-1-4614-7163-9_65-1
Bergstrom KFisher SJenson J(2014)Disavowing ‘That Guy’Convergence: The International Journal of Research into New Media Technologies10.1177/135485651456031422:3(233-249)Online publication date: 8-Dec-2014
https://doi.org/10.1177/1354856514560314
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10,000 gold for 20 dollars: an exploratory study of World of Warcraft gold buyers

Can machine learning teach us anything? - [Opinion]

Mining for Gold Farmers: Automatic Detection of Deviant Players in MMOGs

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