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Wolverhampton Intellectual Repository and E-Theses > Research Institutes > Research Institute in Information and Language Processing > Statistical Cybermetrics Research Group > Scientific web intelligence: finding relationships in university webs

Please use this identifier to cite or link to this item: http://hdl.handle.net/2436/27335
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Title: Scientific web intelligence: finding relationships in university webs
Authors: Thelwall, Mike
Citation: Communications of the ACM, 48 (7): 93-96
Publisher: ACM
Journal: Communications of the ACM
Issue Date: 2005
URI: http://hdl.handle.net/2436/27335
DOI: 10.1145/1070838.1070843
Additional Links: http://portal.acm.org/citation.cfm?doid=1070838.1070843#IndexTerms
http://delivery.acm.org/10.1145/1080000/1070843/p93-thelwall.pdf?key1=1070843&key2=2006631121&coll=GUIDE&dl=GUIDE&CFID=69194609&CFTOKEN=26833299
Abstract: Methods for analyzing university Web sites demonstrate strong patterns that can reveal interconnections between research fields.
Type: Article
Language: en
Keywords: Information systems
On-line information services
Computer systems organization
Internetworking
Database applications
Websites
Universities
ISSN: 00010782
Appears in Collections: Statistical Cybermetrics Research Group
Statistical Cybermetrics Research Group

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