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Hyperlinks as a data source for science mapping

School of Computing and Information Technology, University of Wolverhampton, UK

David Wilkinson

School of Computing and Information Technology, University of Wolverhampton, UK

Liz Price

School of Computing and Information Technology, University of Wolverhampton, UK

Ruth Fairclough

School of Computing and Information Technology, University of Wolverhampton, UK

Mike Thelwall

School of Computing and Information Technology, University of Wolverhampton, UK, m.thelwall{at}wlv.ac.uk

Hyperlinks between academic web sites, like citations, can potentially be used to map disciplinary structures and identify evidence of connections between disciplines. In this paper we classified a sample of links originating in three different disciplines: maths, physics and sociology. Links within a discipline were found to be different in character to links between pages in different disciplines. There were also disciplinary differences in both types of link. As a consequence, we argue that interpretations of web science maps covering multiple disciplines will need to be sensitive to the contexts of the links mapped.

Key Words: Scientometrics • Webometrics • University web sites • Web pages • Hyperlinks • Intradisciplinary relationships • Interdisciplinary relationships • Content analysis • Domain visualization

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