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dc.contributor.authorThelwall, Mike
dc.date.accessioned2008-05-21T10:37:29Z
dc.date.available2008-05-21T10:37:29Z
dc.date.issued2005
dc.identifier.citationCommunications of the ACM, 48 (7): 93-96
dc.identifier.issn00010782
dc.identifier.doi10.1145/1070838.1070843
dc.identifier.urihttp://hdl.handle.net/2436/27335
dc.description.abstractMethods for analyzing university Web sites demonstrate strong patterns that can reveal interconnections between research fields.
dc.language.isoen
dc.publisherACM
dc.relation.urlhttps://cacm.acm.org/magazines/2005/7/6172-scientific-web-intelligence/fulltext
dc.subjectWebsites
dc.subjectUniversities
dc.subjectInformation systems
dc.subjectOn-line information services
dc.subjectComputer systems organization
dc.subjectInternetworking
dc.subjectDatabase applications
dc.titleScientific web intelligence: finding relationships in university webs
dc.typeJournal article
dc.identifier.journalCommunications of the ACM
html.description.abstractMethods for analyzing university Web sites demonstrate strong patterns that can reveal interconnections between research fields.


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