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    Similarity Measures, Author Cocitation Analysis, and Information Theory. Journal of the American Society for Information Science & Technology JASIST 56(7), 2005, 769-772.

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    Author
    Leydesdorff, Loet
    Issue Date
    2005
    Submitted date
    2006-10-25
    Keywords
    Science Technology Studies
    
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    Citation
    Similarity Measures, Author Cocitation Analysis, and Information Theory. Journal of the American Society for Information Science & Technology JASIST 56(7), 2005, 769-772. 2005,
    URI
    http://hdl.handle.net/10150/105170
    Abstract
    The use of Pearsonâ s correlation coefficient in Author Cocitation Analysis was compared with Saltonâ s cosine measure in a number of recent contributions. Unlike the Pearson correlation, the cosine is insensitive to the number of zeros. However, one has the option of applying a logarithmic transformation in correlation analysis. Information calculus is based on both the logarithmic transformation and provides a non-parametric statistics. Using this methodology one can cluster a document set in a precise way and express the differences in terms of bits of information. The algorithm is explained and used on the data set which was made the subject of this discussion.
    Type
    Preprint
    Language
    en
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