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dc.contributor.authorThelwall, Mike
dc.date.accessioned2006-06-20T15:57:07Z
dc.date.available2006-06-20T15:57:07Z
dc.date.issued2002
dc.identifier.citationJournal of Documentation, 58(6): 683-694
dc.identifier.issn00220418,00000000
dc.identifier.doi10.1108/00220410210448219
dc.identifier.urihttp://hdl.handle.net/2436/3145
dc.description.abstractWeb links are a phenomenon of interest to bibliometricians by analogy with citations, and to others because of their use in Web navigation and search engines. It is known that very few links on university Web sites are targeted at scholarly expositions and yet, at least in the UK and Australia, a correlation has been established between link count metrics for universities and measures of institutional research. This paper operates on a finer-grained level of detail, focussing on counts of links between pairs of universities. It provides evidence of an underlying linear relationship with the quadruple product of the size and research quality of both source and target institution. This simple model is proposed as applying generally to national university systems, subject to a series of constraints to identify cases where it is unlikely to be applicable. It is hoped that the model, if confirmed by studies of other countries, will open the door to deeper mining of academic Web link data.
dc.format.extent443759 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherMCB UP Ltd
dc.relation.urlhttp://www.emeraldinsight.com/10.1108/00220410210448219
dc.subjectInterconnection
dc.subjectModelling
dc.subjectUniversities
dc.subjectWorld Wide Web
dc.titleA research and institutional size-based model for national university Web site interlinking
dc.typeArticle
dc.format.digYES
refterms.dateFOA2018-08-21T11:10:58Z
html.description.abstractWeb links are a phenomenon of interest to bibliometricians by analogy with citations, and to others because of their use in Web navigation and search engines. It is known that very few links on university Web sites are targeted at scholarly expositions and yet, at least in the UK and Australia, a correlation has been established between link count metrics for universities and measures of institutional research. This paper operates on a finer-grained level of detail, focussing on counts of links between pairs of universities. It provides evidence of an underlying linear relationship with the quadruple product of the size and research quality of both source and target institution. This simple model is proposed as applying generally to national university systems, subject to a series of constraints to identify cases where it is unlikely to be applicable. It is hoped that the model, if confirmed by studies of other countries, will open the door to deeper mining of academic Web link data.


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