Appropriate Similarity Measures for Author Cocitation Analysis
2007-12-13
Research Paper
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We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.
Keywords
Classifications using
Journal of Economic Literature (JEL) Classification System
- M11 : Production Management
- M : Business Administration and Business Economics; Marketing; Accounting
- C19 : Econometric and Statistical Methods: Other
- R4 : Transportation Systems
Automatically Extracted Terms
- author
- pearson correlation
- similarity
- cocitation
- measure
- cocitation profiles
- pearson
- correlation
- similarity measures
- similarity measure
- profile
- information science
- information
- author cocitation analysis
- probability distributions
- analysis
- authors 1
- science
- distribution
- cosine
