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.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/105170 |
| Date | January 2005 |
| Creators | Leydesdorff, Loet |
| Source Sets | University of Arizona |
| Language | English |
| Detected Language | English |
| Type | Preprint |
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