人工知能学会論文誌
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
論文
参照の共起性に基づくWebコミュニティの発見
村田 剛志
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ジャーナル フリー

2001 年 16 巻 3 号 p. 316-323

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This paper proposes a method for discovering Web communities. A complete bipartite graph Ki, j of Web pages can be regarded as a community sharing a common interest. Discovery of such community is expected to assist users’ information retrieval from the Web. The method proposed in this paper is based on the assumption that hyperlinks to related Web pages often co-occur. Relations of Web pages are detected by the co-occurrence of hyperlinks on the pages which are acquired from a search engine by backlink search. In order to find a new member of a Web community, all the hyperlinks contained in the acquired pages are extracted. A page which is pointed by the most frequent hyperlinks is regarded as a new member of the community. We have build a system which discovers complete bipartite graphs based on the method. Only from a few URLs of initial community members, the system succeeds in discovering several genres of Web communities without analyzing the contents of Web pages.

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© 2001 JSAI (The Japanese Society for Artificial Intelligence)
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