Dong hyun Ahn  Huy kang Kim

10.5626/JOK.2018.45.12.1312

Social Network Analysis user behavior analysis verbal violence

In relation to the online game industry, verbal violence in the game has become a serious social problem. However, it is difficult to solve fundamental problems by simply filtering or using reporting systems. This study proposed a method to analyze the propagation tendency of the foul language and to detect malicious users in social network perspective. This method was applied to the analysis of the chat log of Defense of the Ancients 2(DotA 2), a popular MOBA(Multiplayer Online Battle Arena) genre game around the world. In the case of MOBA games, there are usually limited users belonging to one queue, which is a good platform for analyzing foul language networks as compared to other games. Verbally abusive malicious users tend to have high centrality when they form a network. Using these features, we analyzed the propagation tendency of the foul language on the network and detected users with high centrality. We also analyzed the effect on the whole network when the user was restricted. With the proposed method, we were able to detect malicious users who used the foul language. For future works, we will classify the spreading types in the foul language network and analyze users for each type.