Discovery of emerging topics between communities on WWW

Naohiro Matsumura, Yukio Ohsawa, Mitsuru Ishizuka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In the real world, discovering new topics covering profitable items and ideas (e.g., mobile phone, global warming, human genome project, etc) is important and interesting. However, since we cannot completely encode the world surrounding us, it’s difficult to detect such topics and their mechanisms in advance. In order to support the detection, we show a method for revealing the structure of WWW by using the KeyGraph algorithm. Empirical results are reported.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages473-482
Number of pages10
Volume2198
ISBN (Print)3540427309, 9783540427308
Publication statusPublished - 2001
Externally publishedYes
Event1st Asia-Pacific Conference on Web Intelligence, WI 2001 - Maebashi City, Japan
Duration: 2001 Oct 232001 Oct 26

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2198
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other1st Asia-Pacific Conference on Web Intelligence, WI 2001
CountryJapan
CityMaebashi City
Period01/10/2301/10/26

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Matsumura, N., Ohsawa, Y., & Ishizuka, M. (2001). Discovery of emerging topics between communities on WWW. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2198, pp. 473-482). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2198). Springer Verlag.