An initial exploration of the link relationship between UK university Web sites.
Average rating
Cast your vote
You can rate an item by clicking the amount of stars they wish to award to this item.
When enough users have cast their vote on this item, the average rating will also be shown.
Star rating
Your vote was cast
Thank you for your feedback
Thank you for your feedback
Authors
Thelwall, MikeIssue Date
2002
Metadata
Show full item recordAbstract
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): 118-128Publisher
MCB UP LtdAdditional Links
http://www.emeraldinsight.com/10.1108/00012530210435248Type
Journal articleLanguage
enISSN
0001253Xae974a485f413a2113503eed53cd6c53
10.1108/00012530210435248
Scopus Count