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Graph structure in three national academic Webs: Power laws with anomalies

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  • Mike Thelwall
  • David Wilkinson

Abstract

The graph structures of three national university publicly indexable Webs from Australia, New Zealand, and the UK were analyzed. Strong scale‐free regularities for page indegrees, outdegrees, and connected component sizes were in evidence, resulting in power laws similar to those previously identified for individual university Web sites and for the AltaVista‐indexed Web. Anomalies were also discovered in most distributions and were tracked down to root causes. As a result, resource driven Web sites and automatically generated pages were identified as representing a significant break from the assumptions of previous power law models. It follows that attempts to track average Web linking behavior would benefit from using techniques to minimize or eliminate the impact of such anomalies.

Suggested Citation

  • Mike Thelwall & David Wilkinson, 2003. "Graph structure in three national academic Webs: Power laws with anomalies," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(8), pages 706-712, June.
    • Handle: RePEc:bla:jamist:v:54:y:2003:i:8:p:706-712
    DOI: 10.1002/asi.10267
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    Cited by:

    1. Leo Egghe, 2009. "Performance and its relation with productivity in Lotkaian systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 567-585, November.
    2. Mike Thelwall & Franz Barjak & Hildrun Kretschmer, 2006. "Web links and gender in science: An exploratory analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(3), pages 373-383, June.
    3. Liwen Vaughan, 2004. "Exploring website features for business information," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(3), pages 467-477, November.
    4. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    5. Jose Luis Ortega & Isidro Aguillo & Viv Cothey & Andrea Scharnhorst, 2008. "Maps of the academic web in the European Higher Education Area — an exploration of visual web indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 295-308, February.

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