Similarity measures, author cocitation analysis, and information theory: Brief Communication

Authors:
Loet Leydesdorff
Affiliations:
Science & Technology Dynamics, University of Amsterdam, Amsterdam School of Communications Research (ASCoR), Kloveniersburgwal 48, 1012 CX Amsterdam, The Netherlands
Venue:
Journal of the American Society for Information Science and Technology
Year:
2005

Citing 5
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Abstract

The use of Pearson's correlation coefficient in Author Cocitation Analysis was compared with Salton'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. © 2005 Wiley Periodicals, Inc.