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Wolverhampton Intellectual Repository and E-Theses > Research Institutes > Research Institute in Information and Language Processing > Statistical Cybermetrics Research Group > Motivations for academic web site interlinking: evidence for the Web as a novel source of information on informal scholarly communication

Please use this identifier to cite or link to this item: http://hdl.handle.net/2436/27337
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Title: Motivations for academic web site interlinking: evidence for the Web as a novel source of information on informal scholarly communication
Authors: Wilkinson, David
Harries, Gareth
Thelwall, Mike
Price, Liz
Citation: Journal of Information Science, 29(1): 49-56
Publisher: Sage
Journal: Journal of Information Science
Issue Date: 2003
URI: http://hdl.handle.net/2436/27337
DOI: 10.1177/016555150302900105
Additional Links: http://jis.sagepub.com/cgi/content/abstract/29/1/49
Abstract: The need to understand authors’ motivations for creating links between university web sites is addressed by a survey of a random collection of 414 such links from the ac.uk domain. A classification scheme was created and applied to this collection. Obtaining inter-classifier agreement as to the single main link creation cause was very difficult because of multiple potential motivations and the fluidity of genre on the Web. Nevertheless, it was clear that, whilst the vast majority, over 90%, was created for broadly scholarly reasons, only two were equivalent to journal citations. It is concluded that academic web link metrics will be dominated by a range of informal types of scholarly communication. Since formal communication can be extensively studied through citation analysis, this provides an exciting new window through which to investigate a facet of a previously obscured type of communication activity.
Type: Article
Language: en
Keywords: Academic websites
Authors
Websites
Universities
Collaborative working
Academic research
Scholarly communication
Motivation
ISSN: 01655515
00000000
Appears in Collections: Statistical Cybermetrics Research Group
Statistical Cybermetrics Research Group

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