2.50
Hdl Handle:
http://hdl.handle.net/2436/27518
Title:
Graph structure in three national academic Webs: Power laws with anomalies
Authors:
Thelwall, Mike; Wilkinson, David
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.
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
Type:
Article
Language:
en
ISSN:
15322882; 15322890
Appears in Collections:
Statistical Cybermetrics Research Group; Statistical Cybermetrics Research Group

Full metadata record

DC FieldValue Language
dc.contributor.authorThelwall, Mike-
dc.contributor.authorWilkinson, David-
dc.date.accessioned2008-05-22T08:32:09Z-
dc.date.available2008-05-22T08:32:09Z-
dc.date.issued2003-
dc.identifier.citationJournal of the American Society for Information Science and Technology, 54 (8): 706-712en
dc.identifier.issn15322882-
dc.identifier.issn15322890-
dc.identifier.doi10.1002/asi.10267-
dc.identifier.urihttp://hdl.handle.net/2436/27518-
dc.description.abstractThe 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.en
dc.language.isoenen
dc.publisherWileyen
dc.relation.urlhttp://www3.interscience.wiley.com/journal/104525197/abstracten
dc.subjectGraphsen
dc.subjectWebometricsen
dc.subjectHypertexten
dc.subjectMaps (graphic representation)en
dc.subjectLink analysisen
dc.subjectWebsitesen
dc.subjectAcademic websitesen
dc.subjectLinks (hypermedia)en
dc.subjectColleges-
dc.subjectUniversities-
dc.titleGraph structure in three national academic Webs: Power laws with anomaliesen
dc.typeArticleen
dc.identifier.journalJournal of the American Society for Information Science and Technologyen
All Items in WIRE are protected by copyright, with all rights reserved, unless otherwise indicated.