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Scientometrics

, Volume 76, Issue 2, pp 315–326 | Cite as

Hyperlink analysis for government websites of Chinese provincial capitals

  • Erjia YanEmail author
  • Qinghua Zhu
Article

Abstract

With the data retrieved from the search engines of Yahoo and SOGOU, this article aims to study the total backlink counts, external backlink counts and the Web Impact Factors for government websites of Chinese provincial capitals. By studying whether the backlink counts and WIFs of websites associate with the comprehensive ratings for these websites, the article demonstrates that the backlink counts can be a better evaluation measure for government websites than WIFs. At length, this article also discusses the correlation between backlink counts and economic capacity, and illustrates that backlink counts can also be an indicator for economic status.

Keywords

Search Engine Provincial Capital Economic Capacity Commercial Search Engine Link Count 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Bar-Ilan, J. (2001), Data collection methods on the web for informetric purposes: A review and analysis, Scientometrics, 50(1): 7–32.CrossRefMathSciNetGoogle Scholar
  2. Berners-Lee, T., Hendler, J. (2001), Scientific publishing on the “semantic web”, Nature, 410: 1023–1024.CrossRefGoogle Scholar
  3. Björneborn, L., Ingwersen, P. (2004), Toward a basic framework for webometrics, Journal of the American Society for Information Science and Technology, 55(14): 1216–1227.CrossRefGoogle Scholar
  4. Informationization Office Of State Council (2006), Evaluation of Chinese government websites. Retrieved February 15, 2007 from http://www.xxhbg.com/Index.htm.
  5. Garfield, E. (1995), The Impact Factor, Retrieved January 23, 2007 from http://www.isinet.com/isi/hot/essays/journalcitationreports/7.html.
  6. Harter, S., Ford, C. (2000), Web-based analysis of E-journal impact: Approaches, problems, and issues, Journal of the American Society for Information Science, 51(13), 1159–1176.CrossRefGoogle Scholar
  7. Ingwersen, P. (1998), The calculation of Web Impact Factors, Journal of Documentation, 54(2): 236–243.CrossRefGoogle Scholar
  8. Larence, S., Giles, L. (1999), Accessibility and distribution of information on the web, Nature, 400: 107–110.CrossRefGoogle Scholar
  9. Mackiernan, G. (1996), CitedSites(sm): Citation indexing of web resources, Retrieved January 11, 2007 form http://www.public.iastate.edu/:_CYBERSTACKS/Cited.htm.
  10. Madnick, S., Siegel, M. (2002), Seizing the opportunity: Exploiting Web aggregation, MIS Quarterly Executive, 1: 35–46.Google Scholar
  11. Qiu, J., Chen, J., Wang, Z. (2004), An analysis of backlink counts and Web Impact Factors for Chinese university websites, Scientometrics, 60(3): 463–473.CrossRefGoogle Scholar
  12. Smith, A., Thelwall, M. (2002), Web Impact Factors for Australasian universities, Scientometrics, 54(1): 363–380.CrossRefGoogle Scholar
  13. Tang, R., Thelwall, M. (2002), Exploring the pattern of links between Chinese university Web sites, Proceedings of the ASIST Annual Meeting, 39: 417–424.Google Scholar
  14. Thelwall, M. (2001a), Extracting macroscopic information from web links, Journal of the American Society for Information Science and Technology, 52(13): 1157–1168.CrossRefGoogle Scholar
  15. Thelwall, M. (2001b). Exploring the link structure of the Web with network diagrams, Journal of Information Science, 27(6): 393–402.CrossRefGoogle Scholar
  16. Thelwall, M. (2002), A comparison of sources of links for academic Web Impact Factor calculations, Journal of Documentation, 58(1): 60–72.CrossRefGoogle Scholar
  17. Thelwall, M., Harries, G. (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 university, Journal of the American Society for Information Science and Technology, 54(7): 594–602.CrossRefGoogle Scholar
  18. Thelwall, M., Vaughan, L., Björneborn, L. (2004), Webometrics, Annual Review of Information Science and Technology, 81–135.Google Scholar
  19. Vaughan, L. (2004), Web hyperlinks reflect business performance: A study of U.S. and Chinese IT companies, Canadian Journal of Information and Library Science, 28(1): 17–31.Google Scholar
  20. Vaughan, L., Hysen, K. (2002), Relationship between links to journal web sites and Impact Factors, ASLIB Proceedings: New Information Perspectives, 54: 356–361.Google Scholar
  21. Vaughan, L., Shaw, D. (2003), Bibliographic and Web Citations: What is the Difference? Journal of the American Society for Information Science and Technology, 54(14): 1313–1322.CrossRefGoogle Scholar
  22. Vaughan, L., Shaw, D. (2004), Can Web Citations Be a Measure of Impact? An Investigation of Journals in the Life Sciences, Proceedings of the 67th ASIS&T Annual Meeting, 41: 516–526.Google Scholar
  23. Vaughan, L., Thelwall, M. (2003), Scholarly use of the web: What are the key inducers of links to journal web sites? Journal of the American Society for Information Science and Technology, 54(1): 29–38.CrossRefGoogle Scholar
  24. Vaughan, L., Wu, G. (2004), Links to commercial websites as a source of business information, Scientometrics, 60(3): 487–496.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2008

Authors and Affiliations

  1. 1.Department of Information ManagementNanjing UniversityNanjingP. R. China

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