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Wolverhampton Intellectual Repository and E-Theses > School of Technology > School of Computing and IT > Statistical Cybermetrics Research Group  > Methodologies for crawler based Web surveys.

Please use this identifier to cite or link to this item: http://hdl.handle.net/2436/4012
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Title: Methodologies for crawler based Web surveys.
Authors: Thelwall, Mike
Citation: Internet Research, 12(2): 124-138
Publisher: MCB UP Ltd
Issue Date: 2002
URI: http://hdl.handle.net/2436/4012
DOI: 10.1108/10662240210422503
Additional Links: http://www.emeraldinsight.com/10.1108/10662240210422503
Abstract: There have been many attempts to study the content of the Web, either through human or automatic agents. Describes five different previously used Web survey methodologies, each justifiable in its own right, but presents a simple experiment that demonstrates concrete differences between them. The concept of crawling the Web also bears further inspection, including the scope of the pages to crawl, the method used to access and index each page, and the algorithm for the identification of duplicate pages. The issues involved here will be well-known to many computer scientists but, with the increasing use of crawlers and search engines in other disciplines, they now require a public discussion in the wider research community. Concludes that any scientific attempt to crawl the Web must make available the parameters under which it is operating so that researchers can, in principle, replicate experiments or be aware of and take into account differences between methodologies. Also introduces a new hybrid random page selection methodology.
Type: Article
Language: en
Keywords: Indexes
Internet
Surveys
Web crawlers
ISSN: 10662243,00000000
Appears in Collections: Statistical Cybermetrics Research Group
Statistical Cybermetrics Research Group

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