Contagion of Cheating Behaviors in Online Social Networks

被引:13
|
作者
Woo, Jiyoung [1 ]
Kang, Sung Wook [2 ]
Kim, Huy Kang [3 ]
Park, Juyong [4 ]
机构
[1] Soonchunhyang Univ, Dept Big Data Engn, Asan 31538, South Korea
[2] NCSOFT, Data Anal & Modeling Team, Seongnam 13595, South Korea
[3] Korea Univ, Grad Sch Informat Secur, Seoul 02841, South Korea
[4] Korea Adv Inst Sci & Technol, Grad Sch Culture Technol, Daejeon 34141, South Korea
来源
IEEE ACCESS | 2018年 / 6卷
关键词
Diffusion model; social contagion; social network; online game; DIFFERENTIAL ASSOCIATION; LEARNING THEORY; COMPUTER CRIME; SMOKING; MODEL; INFORMATION; DIFFUSION; DRINKING; SPREAD; FEAR;
D O I
10.1109/ACCESS.2018.2834220
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Human behaviors are known to spread through social contact. The diffusion process on social networks has also been leveraged to understand the spread of undesirable contagion. The contagion of malicious or even criminal behaviors in online social networks is just beginning to attract attention. Here, we study the social contagion problem of cheating behavior found in the massively multiplayer online roleplaying game (MMORPG) that provides a lifelike environment with rich and realistic user interactions. Because cheating users boast an abnormal thus conspicuous degree of success, it has a strong chance of being noticed by their friends and leading them to cheat themselves. To detect and prevent cheating, it is beneficial to understand this dynamic as a contagion problem. In this paper, we show the existence of the contagion of cheating. We then explore various possible social reinforcement mechanisms after introducing several factors to quantify the effect of social reinforcement on the contagion and analyze the dynamics of bot diffusion in an extensive user interaction log from a major MMORPG.
引用
收藏
页码:29098 / 29108
页数:11
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