書誌事項
- タイトル別名
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- A Community Extraction Method using Intersection Graph and Semantic Analysis in Complex Network
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説明
There is an increasing number of researches of complex networks such as World Wide Web, social networks and biological networks. They have found the property of a scale free, a small world, a large clustering coefficient, and so on. One of the hot topics in this area is community detection. Nodes belonging to a community are likely to have common properties. For instance, in the World Wide Web, a community may be a set of pages which belong to a same topic. Community structure is undoubtedly a key characteristic of complex networks. In this paper, we present a new framework for finding communities in complex networks and evaluate detecting the community. This framework uses the idea of intersection graph and uses semantic information such as text and attributes which appear in networks.
収録刊行物
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- 知能と情報
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知能と情報 25 (1), 540-555, 2013
日本知能情報ファジィ学会
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詳細情報 詳細情報について
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- CRID
- 1390001205187487104
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- NII論文ID
- 130003368207
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- ISSN
- 18817203
- 13477986
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可
