Re-ranking search results using network analysis a case study with google: a case study with Google

  • Authors:

  • Behnak Yaltaghian;Mark Chignell

  • Affiliations:

  • Interactive Media Laboratory, Bahen Center for Information Technology, University of Toronto, Toronto, Ontario, M5S 2E4;Interactive Media Laboratory, Bahen Center for Information Technology, University of Toronto, Toronto, Ontario, M5S 2E4

  • Venue:
  • CASCON '02 Proceedings of the 2002 conference of the Centre for Advanced Studies on Collaborative research
  • Year:
  • 2002

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Abstract

In this paper we review methods of structured search for information on the World Wide Web. We propose new methods based on co-citation and network analysis. We describe a set of 21 measures based on these methods and examine the factor structure of those measures. We then report on a recent study that we have conducted at the University of Toronto. Human judges rated the relevance of a selection of Web pages returned by the Google search engine for each of seven queries. We compared the average judged relevance of the top 20 search results selected by Google vs. the top 20 results as selected by each of the 21 network analysis measures. All but one of the network analysis measures ("inlink") showed significantly (p