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The relationship between forward and backward diversity in CORE datasets

Author

Listed:
  • Stephen F. Carley

    (Search Technology, Inc)

  • Seokbeom Kwon

    (Search Technology, Inc
    Georgia Institute of Technology)

  • Alan L. Porter

    (Georgia Institute of Technology)

  • Jan L. Youtie

    (Georgia Institute of Technology)

Abstract

In this paper we seek to better understand the relationship between forward diversity in the Cognitive Science and Educational Research literature, as well as what we call Border fields (i.e. those fields which exist at the intersection of Cognitive Science and Education Research). We find a clear and convincing relationship between forward and backward diversity in the datasets we study. Among all available explanatory variables, Integration scores claim the strongest correlation in terms of their ability to account for forward diversity. When comparing results from this study to benchmark results from a prior study (using the same indicators) the datasets in this study show a tendency to be both more integrative and diffuse.

Suggested Citation

  • Stephen F. Carley & Seokbeom Kwon & Alan L. Porter & Jan L. Youtie, 2019. "The relationship between forward and backward diversity in CORE datasets," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 961-974, September.
    • Handle: RePEc:spr:scient:v:120:y:2019:i:3:d:10.1007_s11192-019-03163-3
    DOI: 10.1007/s11192-019-03163-3
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    References listed on IDEAS

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