Pictures of relevance: a geometric analysis of similarity measures
Journal of the American Society for Information Science
An algorithm for drawing general undirected graphs
Information Processing Letters
Similarity measures in scientometric research: the Jaccard index versus Salton's cosine formula
Information Processing and Management: an International Journal
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Journal of the American Society for Information Science and Technology
Author cocitation analysis and Pearson's r
Journal of the American Society for Information Science and Technology
Author cocitation analysis and Pearson's r
Journal of the American Society for Information Science and Technology - Special issue: Part II: Information seeking research
Journal of the American Society for Information Science and Technology - Special issue: Part II: Information seeking research
Letter to the editor: Pearson's r and author cocitation analysis: a commentary on the controversy
Journal of the American Society for Information Science and Technology
Similarity measures, author cocitation analysis, and information theory: Brief Communication
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
Some comments on the question whether co-occurrence data should be normalized
Journal of the American Society for Information Science and Technology
Should co-occurrence data be normalized? A rejoinder: Letter to Editor
Journal of the American Society for Information Science and Technology
Multi-modal social networks for modeling scientific fields
Scientometrics
RESYGEN: A Recommendation System Generator using domain-based heuristics
Expert Systems with Applications: An International Journal
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The debate about which similarity measure one should use for the normalization in the case of Author Co-citation Analysis (ACA) is further complicated when one distinguishes between the symmetrical co-citation—or, more generally, co-occurrence—matrix and the underlying asymmetrical citation—occurrence—matrix. In the Web environment, the approach of retrieving original citation data is often not feasible. In that case, one should use the Jaccard index, but preferentially after adding the number of total citations (i.e., occurrences) on the main diagonal. Unlike Salton's cosine and the Pearson correlation, the Jaccard index abstracts from the shape of the distributions and focuses only on the intersection and the sum of the two sets. Since the correlations in the co-occurrence matrix may be spurious, this property of the Jaccard index can be considered as an advantage in this case. © 2008 Wiley Periodicals, Inc.