Hyperlink–affiliation network structure of top web sites: Examining affiliates with hyperlink in Korea

Hyperlink–affiliation network structure of top web sites: Examining affiliates with hyperlink... This article argues that individual Web sites form hyperlink–affiliations with others for the purpose of strengthening their individual trust, expertness, and safety. It describes the hyperlink–affiliation network structure of Korea's top 152 Web sites. The data were obtained from their Web sites for October 2000. The results indicate that financial Web sites, such as credit card and stock Web sites, occupy the most central position in the network. A cluster analysis reveals that the structure of the hyperlink–affiliation network is influenced by the financial Web sites with which others are affiliated. These findings are discussed from the perspective of Web site credibility. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of the Association for Information Science and Technology Wiley

Hyperlink–affiliation network structure of top web sites: Examining affiliates with hyperlink in Korea

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Publisher
Wiley
Copyright
Copyright © 2002 Wiley Subscription Services, Inc., A Wiley Company
ISSN
2330-1635
eISSN
2330-1643
DOI
10.1002/asi.10072
Publisher site
See Article on Publisher Site

Abstract

This article argues that individual Web sites form hyperlink–affiliations with others for the purpose of strengthening their individual trust, expertness, and safety. It describes the hyperlink–affiliation network structure of Korea's top 152 Web sites. The data were obtained from their Web sites for October 2000. The results indicate that financial Web sites, such as credit card and stock Web sites, occupy the most central position in the network. A cluster analysis reveals that the structure of the hyperlink–affiliation network is influenced by the financial Web sites with which others are affiliated. These findings are discussed from the perspective of Web site credibility.

Journal

Journal of the Association for Information Science and TechnologyWiley

Published: Jan 1, 2002

References

  • Cluster analysis
    Aldenderfer, M.S.; Blashfield, R.K.
  • UCINET‐X: Network analysis software
    Borgatti, S.; Everett, M.; Freeman, L.

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