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. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Hamasaki, M., Matsuo, Y., Ishida, K., Nakamura, Y., Nishimura, T., & Takeda, H. (2006). Community focused social network extraction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4185 LNCS, pp. 155–161). Springer Verlag. https://doi.org/10.1007/11836025_16
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