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Webometrics benefitting from web mining?: An investigation of methods and applications of two research fields
(Social media studies)ORCID iD: 0000-0003-0659-4754
2014 (English)In: Scientometrics, ISSN 0138-9130, E-ISSN 1588-2861, ISSN 0138-9130 1588-2861, Vol. 99, no 2, p. 409-445Article in journal (Refereed) Published
Abstract [en]

Webometrics and web mining are two fields where research is focused on quantitative analyses of the web. This literature review outlines definitions of the fields, and then focuses on their methods and applications. It also discusses the potential of closer contact and collaboration between them. A key difference between the fields is that webometrics has focused on exploratory studies, whereas web mining has been dominated by studies focusing on development of methods and algorithms. Differences in type of data can also be seen, with webometrics more focused on analyses of the structure of the web and web mining more focused on web content and usage, even though both fields have been embracing the possibilities of user generated content. It is concluded that research problems where big data is needed can benefit from collaboration between webometricians, with their tradition of exploratory studies, and web miners, with their tradition of developing methods and algorithms.

Place, publisher, year, edition, pages
Akademiai Kiado, 2014. Vol. 99, no 2, p. 409-445
Keywords [en]
webometrics, web mining, cybermetrics, web data mining, literature review, interdisciplinary studies
National Category
Computer and Information Sciences
Research subject
Library and Information Science
Identifiers
URN: urn:nbn:se:hb:diva-832DOI: 10.1007/s11192-013-1227-xOAI: oai:DiVA.org:hb-832DiVA, id: diva2:857944
Available from: 2015-09-30 Created: 2015-09-30 Last updated: 2018-01-11Bibliographically approved

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Publisher's full textPublished online before print, the final publication is available at link.springer.com

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Lorentzen, David

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CiteExportLink to record
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  • apa
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