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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References
Adamic, L.A., Adar, E.: Friends and neighbors on the web. Social Networks 25(3), 211–230 (2003)
Finin, T., Ding, L., Zou, L.: Social networking on the semantic web. The Learning Organization (2005)
Golbeck, J., Hendler, J.: Inferring trust relationships in web-based social networks. ACM Transactions on Internet Technology (2005)
Grudin, J.: Groupware and social dynamics: Eight challenges for developers. Communications of the ACM 37(1), 99–105 (1994)
Ishida, T. (ed.): Community Computing: Collaboration over Global Information Networks. John Wiley and Sons, Chichester (1998)
Massa, P., Avesani, P.: Controversial users demand local trust metrics: an experimental study on epinions.com community. In: Proceedings of AAAI 2005 (2005)
Matsuo, Y., Mori, J., Hamasaki, M., Takeda, H., Nishimura, T., Hashida, K., Ishizuka, M.: Polyphonet: An advanced social network extraction system. In: Proceedings of WWW 2006 (to appear)
Mika, P.: Flink: Semantic web technology for the extraction and analysis of social networks. Journal of Web Semantics, 3 (2005)
Mika, P.: Ontologies are us: A unified model of social networks and semantics. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729, pp. 522–536. Springer, Heidelberg (2005)
Miki, T., Nomura, S., Ishida, T.: Semantic web link analysis to discover social relationship in academic communities. In: Proccedings of SAINT 2005 (2005)
Pentland, A.: Socially aware computation and communication. IEEE Computer, Los Alamitos (2005)
Staab, S., Dmingos, P., Finin, T., Mika, P., Joshi, A., Golbeck, J., Nowak, A., Ding, L., Vallecher, R.R.: Social network applied. IEEE Intelligent systems, 80–93 (2005)
Takeda, H., Ohmukai, I.: Building semantic web applications as information/knowledge sharing systems. In: Proceedings of End User Aspects of the Semantic Web (2005)
Tyler, J., Wilkinson, D., Huberman, B.A.: Email as spectroscopy: automated discovery of community structure within organizations. Communities and technologies, 81–96 (2003)
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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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