An integrated method for social network extraction

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An integrated method for social network extraction

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International World Wide Web Conference archive
Proceedings of the 15th international conference on World Wide Web table of contents

Edinburgh, Scotland

POSTER SESSION: Browsers and UI, web engineering, hypermedia & multimedia, security, and accessibility table of contents

Pages: 845 - 846

Year of Publication: 2006

ISBN:1-59593-323-9

Authors

Tom Hope	National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan
Takuichi Nishimura	National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan
Hideaki Takeda	National Institute of Informatics (NII), Tokyo, Japan

Sponsors

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery

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ACM New York, NY, USA

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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.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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