Similarity Measures, Author Cocitation Analysis, and Information Theory. Journal of the American Society for Information Science & Technology JASIST 56(7), 2005, 769-772.
(2005) 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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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.
| EPrint Type: | Preprint |
|---|---|
| Subjects: | Science Technology Studies |
| ID Code: | 1569 |
| Deposited On: | 25 October 2006 |
| Alternative Locations: | http://www.leydesdorff.net/jasist04/ |
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