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The connection between the research of a university and counts of links to its web pages: An investigation based upon a classification of the relationships of pages to the research of the host university

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  • Mike Thelwall
  • Gareth Harries

Abstract

Results from recent advances in link metrics have demonstrated that the hyperlink structure of national university systems can be strongly related to the research productivity of the individual institutions. This paper uses a page categorization to show that restricting the metrics to subsets more closely related to the research of the host university can produce even stronger associations. A partial overlap was also found between the effects of applying advanced document models and separating page types, but the best results were achieved through a combination of the two.

Suggested Citation

  • Mike Thelwall & Gareth Harries, 2003. "The connection between the research of a university and counts of links to its web pages: An investigation based upon a classification of the relationships of pages to the research of the host univers," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(7), pages 594-602, May.
    • Handle: RePEc:bla:jamist:v:54:y:2003:i:7:p:594-602
    DOI: 10.1002/asi.10161
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    Citations

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    Cited by:

    1. Judit Bar-Ilan & Rina Azoulay, 2012. "Map of nonprofit organization websites in Israel," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(6), pages 1142-1167, June.
    2. Wenqiang Fan, 2015. "Contribution of the institutional repositories of the Chinese Academy of Sciences to the webometric indicators of their home institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1889-1909, December.
    3. Erjia Yan & Qinghua Zhu, 2008. "Hyperlink analysis for government websites of Chinese provincial capitals," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(2), pages 315-326, August.
    4. 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.
    5. Enrique Orduna-Malea & Selenay Aytac, 2015. "Revealing the online network between university and industry: the case of Turkey," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1849-1866, December.
    6. Moosung Lee & Han Woo Park, 2012. "Exploring the web visibility of world-class universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 201-218, January.
    7. Young Mee Chung & So Young Yu & Yong Kwang Kim & Su Yeon Kim, 2009. "Characteristics and link structure of a national scholarly Web space: The case of South Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 595-612, September.
    8. Liwen Vaughan, 2016. "Uncovering information from social media hyperlinks: An investigation of twitter," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1105-1120, May.
    9. José Luis Ortega Priego, 2003. "A Vector Space Model as a methodological approach to the Triple Helix dimensionality: A comparative study of Biology and Biomedicine Centres of two European National Research Councils from a Webometri," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 429-443, October.
    10. Alastair G. Smith, 2008. "Benchmarking Google Scholar with the New Zealand PBRF research assessment exercise," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 309-316, February.
    11. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.

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