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.
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1 May 2002
Research Article|
May 01 2002
Methodologies for crawler based Web surveys Available to Purchase
Mike Thelwall
Mike Thelwall
Mike Thelwall is a Senior Lecturer in the School of Computing and Information Technology at the University of Wolverhampton, Wolverhampton, UK
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Publisher: Emerald Publishing
Online ISSN: 2054-5657
Print ISSN: 1066-2243
© MCB UP Limited
2002
Internet Research (2002) 12 (2): 124–138.
Citation
Thelwall M (2002), "Methodologies for crawler based Web surveys ". Internet Research, Vol. 12 No. 2 pp. 124–138, doi: https://doi.org/10.1108/10662240210422503
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