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Three target document range metrics for university web sites

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  • Mike Thelwall
  • David Wilkinson

Abstract

Three new metrics are introduced that measure the range of use of a university Web site by its peers through different heuristics for counting links targeted at its pages. All three give results that correlate significantly with the research productivity of the target institution. The directory range model, which is based upon summing the number of distinct directories targeted by each other university, produces the most promising results of any link metric yet. Based upon an analysis of changes between models, it is suggested that range models measure essentially the same quantity as their predecessors but are less susceptible to spurious causes of multiple links and are therefore more robust.

Suggested Citation

  • Mike Thelwall & David Wilkinson, 2003. "Three target document range metrics for university web sites," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(6), pages 490-497, April.
    • Handle: RePEc:bla:jamist:v:54:y:2003:i:6:p:490-497
    DOI: 10.1002/asi.10222
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    Cited by:

    1. Peter B. Musgrove & Ray Binns & Teresa Page-Kennedy & Mike Thelwall, 2003. "A method for identifying clusters in sets of interlinking Web spaces," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(3), pages 657-672, November.
    2. Mike Thelwall & Rong Tang, 2003. "Disciplinary and linguistic considerations for academic Web linking: An exploratory hyperlink mediated study with Mainland China and Taiwan," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(1), pages 155-181, September.
    3. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    4. Kim Holmberg & Mike Thelwall, 2009. "Local government web sites in Finland: A geographic and webometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(1), pages 157-169, April.

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