Presentation 2002/5/10
Extracting Evolution of Web Communities
Masashi TOYODA, Masaru KITSUREGAWA,
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Abstract(in English) In this paper, we propose a method for observing evolution of web communities. A web community is a set of web pages created by individuals or associations with a common interest on a topic. So far various techniques have been developed to extract web communities by link analysis. We analyze the evolution of web communities by comparing three Japanese web archives periodically crawled in 1999, 2000, and 2001. Several metrics are introduced for measuring the degree of web community evolution, such as growth rate, novelty, and stability. We develop a system for extracting communities and viewing their evolution. This system first extracts whole web communities and their relevance from each archive. Then it provides a web community evolution viewer that allows the user to extract when and how communities emerged and evolved, using the relevance and metrics. Several evolution examples are shown using our system.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Link analysis / Web community / Web community chart / Evolution
Paper # DE2002-7
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Committee DE
Conference Date 2002/5/10(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Extracting Evolution of Web Communities
Sub Title (in English)
Keyword(1) Link analysis
Keyword(2) Web community
Keyword(3) Web community chart
Keyword(4) Evolution
1st Author's Name Masashi TOYODA
1st Author's Affiliation Institute of Industrial Science, University of Tokyo()
2nd Author's Name Masaru KITSUREGAWA
2nd Author's Affiliation Institute of Industrial Science, University of Tokyo
Date 2002/5/10
Paper # DE2002-7
Volume (vol) vol.102
Number (no) 64
Page pp.pp.-
#Pages 6
Date of Issue