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    Can Google's PageRank be used to find the most important academic Web pages?

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    2003 JDOC Google PageRank ...
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    Authors
    Thelwall, Mike
    Issue Date
    2003
    
    Metadata
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    Abstract
    Google's PageRank is an influential algorithm that uses a model of Web use that is dominated by its link structure in order to rank pages by their estimated value to the Web community. This paper reports on the outcome of applying the algorithm to the Web sites of three national university systems in order to test whether it is capable of identifying the most important Web pages. The results are also compared with simple inlink counts. It was discovered that the highest inlinked pages do not always have the highest PageRank, indicating that the two metrics are genuinely different, even for the top pages. More significantly, however, internal links dominated external links for the high ranks in either method and superficial reasons accounted for high scores in both cases. It is concluded that PageRank is not useful for identifying the top pages in a site and that it must be combined with a powerful text matching techniques in order to get the quality of information retrieval results provided by Google.
    Citation
    Journal of Documentation, 59(2): 205-217
    Publisher
    MCB UP Ltd
    URI
    http://hdl.handle.net/2436/3139
    DOI
    10.1108/00220410310463491
    Additional Links
    http://www.emeraldinsight.com/10.1108/00220410310463491
    Type
    Journal article
    Language
    en
    Description
    Main article
    ISSN
    00220418,00000000
    ae974a485f413a2113503eed53cd6c53
    10.1108/00220410310463491
    Scopus Count
    Collections
    Research Institute in Information and Language Processing

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