Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Measurement and analysis of online social networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Unveiling facebook: a measurement study of social network based applications
Proceedings of the 8th ACM SIGCOMM conference on Internet measurement
Spinning multiple social networks for semantic web
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Intelligent Crawling in Virtual Worlds
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Power-Law Distributions in Empirical Data
SIAM Review
Walking in facebook: a case study of unbiased sampling of OSNs
INFOCOM'10 Proceedings of the 29th conference on Information communications
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
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As 3D environments become both more prevalent and more fragmented, studying how users are connected via their avatars and how they benefit from the virtual world community has become a significant area of research. An in depth analysis of the virtual world social networks is necessary to evaluate its worlds, to understand the impact of avatar social networks on the virtual worlds, and to improve future online social networks. Our current efforts are focused on building and exploring the social network aspects of virtual worlds. In this paper we evaluate the Second Life social network we have created and compare it to other social networking sites found on the web. Experimental results with data crawled from Second Life virtual worlds demonstrate that our approach was able to build a representative network of avatars in virtual world from the sample data. The analysis comparison between virtual world social networks and others in flat web allows us to gauge measures that better explore the relationship between locations linked by multiple users and their avatars. Using this comparison, we can also determine if techniques of personalization search and content recommendation are feasible for virtual world environments.