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Exploring relationships among eminent psychologists using co-occurrence analysis

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  • John G. Benjafield

    (Brock University)

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.

Suggested Citation

  • John G. Benjafield, 2024. "Exploring relationships among eminent psychologists using co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(3), pages 1787-1799, March.
    • Handle: RePEc:spr:scient:v:129:y:2024:i:3:d:10.1007_s11192-024-04930-7
    DOI: 10.1007/s11192-024-04930-7
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