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An analysis of backlink counts and Web Impact Factorsfor Chinese university websites

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  • Junping Qiu

    (Wuhan University)

  • Jingquan Chen

    (Wuhan University)

  • Zhi Wang

    (North Carolina State University ()

Abstract

This article aims to study the total backlink counts, external backlink counts and the Web Impact Factors (WIFs) for Chinese university websites. By studying whether the backlink counts and WIFs of websites associate with the comprehensive ratings and the research ratings for Chinese universities, the article demonstrates that the external backlink count can be a better evaluation measure for university websites than WIF. The study also investigated issues about data collection by using different search engines. It shows that data collected by Alta Vista are more stable than AllTheWeb.

Suggested Citation

  • Junping Qiu & Jingquan Chen & Zhi Wang, 2004. "An analysis of backlink counts and Web Impact Factorsfor Chinese university websites," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 463-473, August.
    • Handle: RePEc:spr:scient:v:60:y:2004:i:3:d:10.1023_b:scie.0000034387.76981.83
    DOI: 10.1023/B:SCIE.0000034387.76981.83
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    References listed on IDEAS

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    1. Mike Thelwall, 2001. "Extracting macroscopic information from Web links," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(13), pages 1157-1168.
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    Cited by:

    1. Enrique Orduña-Malea & John J. Regazzi, 2014. "U.S. academic libraries: understanding their web presence and their relationship with economic indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 315-336, January.
    2. Mike Thelwall, 2012. "Journal impact evaluation: a webometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 429-441, August.
    3. 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.
    4. 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.
    5. 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.

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