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    Methodologies for crawler based Web surveys.

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    Authors
    Thelwall, Mike
    Issue Date
    2002
    
    Metadata
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    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.
    Citation
    Thelwall, M. (2002), "Methodologies for crawler based Web surveys ", Internet Research, Vol. 12 No. 2, pp. 124-138. https://doi.org/10.1108/10662240210422503
    Publisher
    MCB UP Ltd
    Journal
    Internet Research
    URI
    http://hdl.handle.net/2436/4012
    DOI
    10.1108/10662240210422503
    Additional Links
    http://www.emeraldinsight.com/10.1108/10662240210422503
    Type
    Journal article
    Language
    en
    Description
    This is an accepted manuscript of an article published by MCB UP Ltd in Internet Research on 01/05/2002, available online: https://doi.org/10.1108/10662240210422503 The accepted version of the publication may differ from the final published version.
    ISSN
    1066-2243
    ae974a485f413a2113503eed53cd6c53
    10.1108/10662240210422503
    Scopus Count
    Collections
    Research Institute in Information and Language Processing

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