Abstract
A social networking service can become the basis for the information infrastructure of the future. For that purpose, it is important to extract social networks that reflect actual social networks which users have already had. Providing a simple means for users to register their social relations is also important. We propose a method that combines various approaches to extract social networks. Especially, three kinds of networks are extracted: user-registered Know-link networks; Web-mined Web-link networks; and face-to-face Touch-link networks. This paper describes the combination of social network extraction for an event-participant community. Analyses on the extracted social networks are also presented.
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Hamasaki, M., Matsuo, Y., Ishida, K., Nakamura, Y., Nishimura, T., Takeda, H. (2006). Community Focused Social Network Extraction. In: Mizoguchi, R., Shi, Z., Giunchiglia, F. (eds) The Semantic Web – ASWC 2006. ASWC 2006. Lecture Notes in Computer Science, vol 4185. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11836025_16
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DOI: https://doi.org/10.1007/11836025_16
Publisher Name: Springer, Berlin, Heidelberg
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