Semantic web link analysis to discover social relationships in academic communities

Takeru Miki*, Saeko Nomura, Torn Ishida

*この研究の対応する著者

研究成果: Conference contribution

21 被引用数 (Scopus)

抄録

To discover how precisely links among researchers' Web sites capture the ties of academic communities, this study conducts Web citation analysis. 3,878 Web sites of computer scientists and their 8,811 articles are assessed. 200 most frequently cited researchers from them are subjected to Web author cocitation analysis and compared to bibliographical data. As a result, a cluster of researchers on the Web becomes a superset of bibliographical one, that is, a community representing a larger research field. We then develop Web link ontology that defines various relationships among researchers to apply metadata annotation to the links among 200 sites. Findings: 1) since intellectual ties analysis separates off sociocognitive ties, it results into a better approximation of bibliographical author cocitation, 2) since sociocognitive ties analysis can utilize various links not only coauthor networks, diverse kinds of social connections can be found, 3) merging intellectual ties and sociocognitive ties analyses detect gatekeepers who bridges research fields on social networks.

本文言語English
ホスト出版物のタイトルProceedings - 2005 Symposium on Applications and the Internet, SAINT'2005
ページ38-45
ページ数8
出版ステータスPublished - 2005 12 1
外部発表はい
イベント5th Symposium on Applications and the Internet, SAINT'2005 - Trento, Italy
継続期間: 2005 1 312005 2 4

出版物シリーズ

名前Proceedings - 2005 Symposium on Applications and the Internet, SAINT'2005

Conference

Conference5th Symposium on Applications and the Internet, SAINT'2005
国/地域Italy
CityTrento
Period05/1/3105/2/4

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用

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