Small worlds: the dynamics of networks between order and randomness
Small worlds: the dynamics of networks between order and randomness
Measurement and analysis of online social networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
The diameter of opportunistic mobile networks
CoNEXT '07 Proceedings of the 2007 ACM CoNEXT conference
Are you moved by your social network application?
Proceedings of the first workshop on Online social networks
Characterizing user mobility in second life
Proceedings of the first workshop on Online social networks
Comparison of online social relations in volume vs interaction: a case study of cyworld
Proceedings of the 8th ACM SIGCOMM conference on Internet measurement
User interactions in social networks and their implications
Proceedings of the 4th ACM European conference on Computer systems
CoNEXT '08 Proceedings of the 2008 ACM CoNEXT Conference
Linking behavior in a virtual world environment
Proceedings of the 15th International Conference on Web 3D Technology
IEEE/ACM Transactions on Networking (TON)
Hybrid user preference models for second life and opensimulator virtual worlds
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
Modeling of bot usage diffusion across social networks in MMORPGs
Proceedings of the Workshop at SIGGRAPH Asia
Virtual research assistants: Replacing human interviewers by automated avatars in virtual worlds
Computers in Human Behavior
Peer-to-peer architectures for massively multiplayer online games: A Survey
ACM Computing Surveys (CSUR)
Hi-index | 0.00 |
Second Life (SL) is a virtual world where people interact and socialize through virtual avatars. Avatars behave similarly to their human counterparts in real life and naturally define a social network. However, not only human-controlled avatars participate in the social network. Automated avatars called bots are common, difficult to identify and, when malicious, can severely detract from the user experience of SL. In this paper we study the SL social network and the role of bots within it. Using traces of avatars in a popular SL region, we analyze the social graph formed by avatar interactions. We find that it resembles natural networks more than other online social networks, and that bots have a fundamental impact on the SL social network. Finally, we propose a bot detection strategy based on the importance of the social connections of avatars in the social graph.