Dark Gold: Statistical Properties of Clandestine Networks in Massively Multiplayer Online Games

作者: Brian Keegan , Muhammad Aurangzeb Ahmed , Dmitri Williams , Jaideep Srivastava , Noshir Contractor

DOI: 10.1109/SOCIALCOM.2010.36

关键词:

摘要: Gold farming is a set of illicit practices in which players massively multiplayer online games gather and distribute virtual goods for real money. Using anonymized data from popular game to construct networks characters involved gold farming, we examine the trade farmers, their trading affiliates, uninvolved at large. Our analysis these complex networks’ connectivity, assortativity, attack tolerance indicate that farmers exhibit distinctive behavioral signatures are masked by brokering affiliates. findings compared against world drug trafficking network suggest similarities both organizations’ structures reflect similar effects secrecy, resilience, efficiency.

参考文章(42)
Carlo Morselli, Inside Criminal Networks ,(2008)
Social Network Analysis: Centrality and Prestige Cambridge University Press. pp. 169- 219 ,(1994) , 10.1017/CBO9780511815478.006
Jialun Qin, Jennifer J. Xu, Daning Hu, Marc Sageman, Hsinchun Chen, Analyzing Terrorist Networks: A Case Study of the Global Salafi Jihad Network Intelligence and Security Informatics. ,vol. 3495, pp. 287- 304 ,(2005) , 10.1007/11427995_24
H. Brinton Milward, Jörg Raab, Dark networks as organizational problems : Elements of a theory International Public Management Journal. ,vol. 9, pp. 333- 360 ,(2006) , 10.1080/10967490600899747