Branded with a scarlet "C": cheaters in a gaming social network

Online gaming is a multi-billion dollar industry that entertains a large, global population. One unfortunate phenomenon, however, poisons the competition and the fun: cheating. The costs of cheating span from industry-supported expenditures to detect and limit cheating, to victims' monetary losses due to cyber crime. This paper studies cheaters in the Steam Community, an online social network built on top of the world's dominant digital game delivery platform. We collected information about more than 12 million gamers connected in a global social network, of which more than 700 thousand have their profiles flagged as cheaters. We also collected in-game interaction data of over 10 thousand players from a popular multiplayer gaming server. We show that cheaters are well embedded in the social and interaction networks: their network position is largely indistinguishable from that of fair players. We observe that the cheating behavior appears to spread through a social mechanism: the presence and the number of cheater friends of a fair player is correlated with the likelihood of her becoming a cheater in the future. Also, we observe that there is a social penalty involved with being labeled as a cheater: cheaters are likely to switch to more restrictive privacy settings once they are tagged and they lose more friends than fair players. Finally, we observe that the number of cheaters is not correlated with the geographical, real-world population density, or with the local popularity of the Steam Community.

[1]  Mia Consalvo,et al.  Cheating: Gaining Advantage in Videogames , 2007 .

[2]  Ying-Chieh Chen,et al.  An Empirical Analysis of Online Gaming Crime Characteristics from 2002 to 2004 , 2007, PAISI.

[3]  A-L Barabási,et al.  Structure and tie strengths in mobile communication networks , 2006, Proceedings of the National Academy of Sciences.

[4]  Wu-chi Feng,et al.  Provisioning on-line games: a traffic analysis of a busy counter-strike server , 2002, CCRV.

[5]  J. Huizinga Homo Ludens: A Study of the Play-Element in Culture , 1938 .

[6]  Dan Ariely,et al.  The Effect of One Bad Apple on the Barrel , 2009 .

[7]  Arun Sundararajan,et al.  Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks , 2009, Proceedings of the National Academy of Sciences.

[8]  Wu-chi Feng,et al.  A traffic characterization of popular on-line games , 2005, IEEE/ACM Transactions on Networking.

[9]  Wu-chi Feng,et al.  On the geographic distribution of on-line game servers and players , 2003, NetGames '03.

[10]  D. Dumitrica,et al.  An exploration of cheating in a virtual gaming world , 2011 .

[11]  Adriana Iamnitchi,et al.  K-path centrality: a new centrality measure in social networks , 2011, SNS '11.

[12]  Cecilia Mascolo,et al.  Distance Matters: Geo-social Metrics for Online Social Networks , 2010, WOSN.

[13]  Chen-Nee Chuah,et al.  Ghostbusting Facebook: Detecting and Characterizing Phantom Profiles in Online Social Gaming Applications , 2010, WOSN.

[14]  Mark Claypool,et al.  Network analysis of Counter-strike and Starcraft , 2003, Conference Proceedings of the 2003 IEEE International Performance, Computing, and Communications Conference, 2003..

[15]  Alexandru Iosup,et al.  An analysis of social gaming networks in online and face to face bridge communities , 2011, LSAP '11.

[16]  Robert J. Moore,et al.  The life and death of online gaming communities: a look at guilds in world of warcraft , 2007, CHI.

[17]  Debanjan Saha,et al.  Characterizing Online Games , 2010, IEEE/ACM Transactions on Networking.

[18]  Xiang Cao,et al.  Sociable killers: understanding social relationships in an online first-person shooter game , 2011, CSCW '11.

[19]  Michael Szell,et al.  Measuring social dynamics in a massive multiplayer online game , 2009, Soc. Networks.

[20]  Jon M. Kleinberg,et al.  Group formation in large social networks: membership, growth, and evolution , 2006, KDD '06.

[21]  Cosma Rohilla Shalizi,et al.  Homophily and Contagion Are Generically Confounded in Observational Social Network Studies , 2010, Sociological methods & research.

[22]  A. Baier,et al.  Reasons and Persons , 1984 .

[23]  Lada A. Adamic,et al.  Diffusion Dynamics of Games on Online Social Networks , 2010, WOSN.

[24]  Jochen H. Schiller,et al.  Distribution of online hardcore player behavior: (how hardcore are you?) , 2006, NetGames '06.

[25]  Wu-chi Feng,et al.  Provisioning on-line games: a traffic analysis of a busy counter-strike server , 2002, Comput. Commun. Rev..

[26]  Henry Been-Lirn Duh,et al.  Cheating Behaviors in Online Gaming , 2009, HCI.

[27]  Jaideep Srivastava,et al.  Illicit Bits: Detecting and Analyzing Contraband Networks in Massively Multiplayer Online Games , 2011, 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing.

[28]  Jaideep Srivastava,et al.  Dark Gold: Statistical Properties of Clandestine Networks in Massively Multiplayer Online Games , 2010, 2010 IEEE Second International Conference on Social Computing.