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National and international university departmental Web site interlinking

Author

Listed:
  • Xuemei Li

    (School of Computing and Information Technology, University of Wolverhampton)

  • Mike Thelwall

    (School of Computing and Information Technology, University of Wolverhampton)

  • David Wilkinson

    (School of Computing and Information Technology, University of Wolverhampton)

  • Peter Musgrove

    (School of Computing and Information Technology, University of Wolverhampton)

Abstract

Summary The structural similarity between hyperlinks and citations has encouraged information scientists to apply bibliometric techniques to the Web. University links have been previously validated as a new data source through significant statistical correlations between link and research measures, together with identification of motivations for hyperlink creation at the university level. Many investigations have been conducted for university interlinking, but few for departments. University Web sites are large compared with departmental Web sites, and significant statistical results are more easily obtained. Nevertheless, universities are multidisciplinary by nature and disciplines may employ the Web differently, thus patterns identified at the university level may hide subject differences. This paper validates departmental interlinking, using Physics, Chemistry and Biology departments from Australia, Canada and the UK.

Suggested Citation

  • Xuemei Li & Mike Thelwall & David Wilkinson & Peter Musgrove, 2005. "National and international university departmental Web site interlinking," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(2), pages 151-185, August.
    • Handle: RePEc:spr:scient:v:64:y:2005:i:2:d:10.1007_s11192-005-0246-7
    DOI: 10.1007/s11192-005-0246-7
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    Cited by:

    1. Enrique Orduña-Malea, 2021. "Dot-science top level domain: Academic websites or dumpsites?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3565-3591, April.
    2. Amalia Mas-Bleda & Mike Thelwall & Kayvan Kousha & Isidro F. Aguillo, 2014. "Do highly cited researchers successfully use the social web?," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 337-356, October.
    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. Mike Thelwall, 2012. "Journal impact evaluation: a webometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 429-441, August.

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