Abstract
This paper introduced a fuzzy game-theoretic framework to address web community discovery problem based on the structures of real-world network. We formulate the dynamics of web community formation, which is called web community formation fuzzy network game. Given an underlying social graph, we assume that each node is a selfish player who selects web communities to join by participating level base on her own utility measurement. A web community structure can be interpreted as a fuzzy Mas-Colell bargaining set and an Aubin core of this game. We allow each player to select multiple communities, which naturally captures the concept of “overlapping communities”. We conduct experiments on this framework, and the results show that our algorithm is effective in discovering overlapping communities. As we know this is the first time the web community discovery problem is addressed by a fuzzy game-theoretic framework, which considers web community formation as that result of individual players’ rational behaviors.
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Li, C. (2012). Web Community Discovery Based on Fuzzy Game-Theoretic Framework. In: Zeng, D. (eds) Advances in Information Technology and Industry Applications. Lecture Notes in Electrical Engineering, vol 136. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-26001-8_40
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DOI: https://doi.org/10.1007/978-3-642-26001-8_40
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