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Wolverhampton Intellectual Repository and E-Theses > Research Institutes > Research Institute in Information and Language Processing > Statistical Cybermetrics Research Group > Graph structure in three national academic Webs: Power laws with anomalies

Please use this identifier to cite or link to this item: http://hdl.handle.net/2436/27518
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Title: Graph structure in three national academic Webs: Power laws with anomalies
Authors: Thelwall, Mike
Wilkinson, David
Citation: Journal of the American Society for Information Science and Technology, 54 (8): 706-712
Publisher: Wiley
Journal: Journal of the American Society for Information Science and Technology
Issue Date: 2003
URI: http://hdl.handle.net/2436/27518
DOI: 10.1002/asi.10267
Additional Links: http://www3.interscience.wiley.com/journal/104525197/abstract
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.
Type: Article
Language: en
Keywords: Graphs
Webometrics
Hypertext
Maps (graphic representation)
Link analysis
Websites
Academic websites
Links (hypermedia)
Colleges
Universities
ISSN: 15322882
15322890
Appears in Collections: Statistical Cybermetrics Research Group
Statistical Cybermetrics Research Group

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