Abstract
There is an increasing number of researches of complex networks such as the WWW, social networks and biological networks. One of the hot topics in this area is community detection. Nodes belonging to a community are likely to have common properties. For instance, in the WWW, a community may be a set of pages which belong to a same topic. Community structure is undoubtedly a key characteristic of complex networks. In this paper, we propose a new framework for finding communities in complex networks.This framework uses the idea of intersection graph and uses semantic information such as texts and attributes which appear in networks.
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Okada, N., Tanikawa, K., Hijikata, Y., Nishida, S. (2010). A Framework for Finding Community in Complex Networks. In: Yoshikawa, M., Meng, X., Yumoto, T., Ma, Q., Sun, L., Watanabe, C. (eds) Database Systems for Advanced Applications. DASFAA 2010. Lecture Notes in Computer Science, vol 6193. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14589-6_31
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DOI: https://doi.org/10.1007/978-3-642-14589-6_31
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