Exploring relationships among eminent psychologists using co-occurrence analysis

John G. Benjafield ()
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John G. Benjafield: Brock University

Scientometrics, 2024, vol. 129, issue 3, No 26, 1787-1799

Abstract: Abstract An analysis of the frequency with which the names of the top 40 eminent psychologists in the Diener et al. (Arch Sci Psychol 2(1):20–32, 2014, https://doi.org/10.1037/arc0000006 ) sample co-occur in Google Scholar was conducted. The correlation between the ranks of the co-occurrence scores and the Diener et al. ranks was 0.55, with Ainsworth and Bruner having the most discrepant ranks. A network showing the strongest connections for each member of the sample was constructed using the program Gephi to analyze the co-occurrence scores. The connections formed five separate clusters, with the two largest centered around Kahneman and Piaget. They were followed by a cluster of emotion researchers, centered on Ekman, then a cluster centered on Tulving and memory researchers, and finally a cluster consisting solely of Ainsworth and Bowlby. There are good reasons why the network takes the form that it does. A co-occurrence analysis may well be a useful tool for assessing the strongest relationships between the individual members of any group.

Keywords: Co-occurrence analysis; Measures of eminence; Eminence network (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11192-024-04930-7

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