Extraction of a latent blog community based on subject
Proceedings of the 18th ACM conference on Information and knowledge management
Subject-based extraction of a latent blog community
Information Sciences: an International Journal
Discovery of Web user communities and their role in personalization
User Modeling and User-Adapted Interaction
Social Ties in Video Sharing Services: Tactics for Excavating Virtual Settlements
International Journal of Virtual Communities and Social Networking
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With the emergence of a range of second generation Internet based services such as weblogs and their hosting services, many loosely organized communities of bloggers have started to form around common interests. Those communities have quickly evolved into a new information and knowledge dissemination channel. Most current search engines cannot discover weblog communities through regular keyword search. In this paper we propose a new way of collecting and preparing information for weblog community discovery. Weblog community is treated as a social network and the data collection stage focuses on gaining knowledge of the strength of social ties between weblogs. The strength of social ties and the clustering feature of social network are used to extract communities from a large blogspace. We also develop a few metrics to rank communities as well as individual members in the community. We report several experimental results on "web services" communities.