2.50
Hdl Handle:
http://hdl.handle.net/2436/4016
Title:
An initial exploration of the link relationship between UK university Web sites.
Authors:
Thelwall, Mike
Abstract:
Aggregates of links are of interest to information scientists in the same way as citation counts are: as potential sources of data from which new knowledge can be mined. Builds on the recent discovery of a correlation between a Web link count measure and the research quality of British universities by applying a range of multivariate statistical techniques to counts of links between pairs of universities. This represents an initial attempt at developing an understanding of this phenomenon. Extracts plausible results. Also identifies outliers in the data by the techniques, some of which were verified by being tracked down to identifiable Web phenomena. This is an important outcome because successful anomaly identification is a precondition to more effective analysis of this kind of data. The identification of groupings is encouraging evidence that Web links between universities can be mined for significant results, although it is clear that more methodological development is needed, if any but the simplest patterns are to be extracted. Finally, based upon the types of patterns extracted, argues that none of the methods used are capable of fully analysing link structures on their own.
Citation:
Aslib Proceedings, 54(2): 118-128
Publisher:
MCB UP Ltd
Issue Date:
2002
URI:
http://hdl.handle.net/2436/4016
DOI:
10.1108/00012530210435248
Additional Links:
http://www.emeraldinsight.com/10.1108/00012530210435248
Type:
Article
Language:
en
ISSN:
0001253X
Appears in Collections:
Statistical Cybermetrics Research Group ; Statistical Cybermetrics Research Group

Full metadata record

DC FieldValue Language
dc.contributor.authorThelwall, Mike-
dc.date.accessioned2006-08-24T10:05:54Z-
dc.date.available2006-08-24T10:05:54Z-
dc.date.issued2002-
dc.identifier.citationAslib Proceedings, 54(2): 118-128en
dc.identifier.issn0001253X-
dc.identifier.doi10.1108/00012530210435248-
dc.identifier.urihttp://hdl.handle.net/2436/4016-
dc.description.abstractAggregates of links are of interest to information scientists in the same way as citation counts are: as potential sources of data from which new knowledge can be mined. Builds on the recent discovery of a correlation between a Web link count measure and the research quality of British universities by applying a range of multivariate statistical techniques to counts of links between pairs of universities. This represents an initial attempt at developing an understanding of this phenomenon. Extracts plausible results. Also identifies outliers in the data by the techniques, some of which were verified by being tracked down to identifiable Web phenomena. This is an important outcome because successful anomaly identification is a precondition to more effective analysis of this kind of data. The identification of groupings is encouraging evidence that Web links between universities can be mined for significant results, although it is clear that more methodological development is needed, if any but the simplest patterns are to be extracted. Finally, based upon the types of patterns extracted, argues that none of the methods used are capable of fully analysing link structures on their own.en
dc.format.extent239880 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.publisherMCB UP Ltden
dc.relation.urlhttp://www.emeraldinsight.com/10.1108/00012530210435248en
dc.subjectInterneten
dc.subjectUniversitiesen
dc.subjectUser studiesen
dc.subjectNetworksen
dc.subjectWeblinks-
dc.subjectAcademic websites-
dc.titleAn initial exploration of the link relationship between UK university Web sites.en
dc.typeArticleen
dc.format.digYES-
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