An integrated method for social network extraction

Authors:
Tom Hope;Takuichi Nishimura;Hideaki Takeda
Affiliations:
National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan;National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan;National Institute of Informatics (NII), Tokyo, Japan
Venue:
Proceedings of the 15th international conference on World Wide Web
Year:
2006

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Abstract

A social network can become bases for information infrastructure in the future. It is important to extract social networks that are not biased. Providing a simple means for users to register their social relation 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 network, Web-mined Web link network, and face-to-face Touch link network. In this paper, the combination of social network extraction for communities is described, and the analysis on the extracted social networks is shown.