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Allometric models to measure and analyze the evolution of international research collaboration

Author

Listed:
  • Mario Coccia

    (CNR - National Research Council of Italy
    Arizona State University)

  • Barry Bozeman

    (Arizona State University)

Abstract

A fundamental problem in the field of the social studies of science is how to measure the patterns of international scientific collaboration to analyse the structure and evolution of scientific fields. This study here confronts the problem by developing an allometric model of morphological changes in order to measure and analyse the relative growth of international research collaboration in comparison with domestic collaboration only for fields of science. Statistical analysis, based on data of internationally co-authored papers from National Science Foundation (1997–2012 period), shows an acceleration (a disproportionate relative growth) of collaboration patterns in medical sciences, social sciences, geosciences, agricultural sciences, and psychology (predominantly applied fields). By contrast, some predominantly basic fields, including physics and mathematics, have lower levels of relative growth in international scientific collaboration. These characteristics of patterns of international research collaboration seem to be vital contributing factors for the evolution of the social dynamics and social construction of science. The main aim of this article is therefore to clarify the on-going evolution of scientific fields that might be driven by the plexus (interwoven combination of parts in a system) of research disciplines, which generates emerging research fields with high growth rates of international scientific collaboration.

Suggested Citation

  • Mario Coccia & Barry Bozeman, 2016. "Allometric models to measure and analyze the evolution of international research collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1065-1084, September.
  • Handle: RePEc:spr:scient:v:108:y:2016:i:3:d:10.1007_s11192-016-2027-x
    DOI: 10.1007/s11192-016-2027-x
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    References listed on IDEAS

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    10. Grit Laudel, 2002. "What do we measure by co-authorships?," Research Evaluation, Oxford University Press, vol. 11(1), pages 3-15, April.
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    13. Mario Coccia & Greta Falavigna & Alessandro Manello, 2015. "The impact of hybrid public and market-oriented financing mechanisms on the scientific portfolio and performances of public research labs: a scientometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 151-168, January.
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    17. Michael Batty & Kwang Sik Kim, 1992. "Form Follows Function: Reformulating Urban Population Density Functions," Urban Studies, Urban Studies Journal Limited, vol. 29(7), pages 1043-1069, October.
    18. Mario Coccia & Ugo Finardi & Diego Margon, 2012. "Current trends in nanotechnology research across worldwide geo-economic players," The Journal of Technology Transfer, Springer, vol. 37(5), pages 777-787, October.
    19. Henry Small, 1999. "Visualizing science by citation mapping," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(9), pages 799-813.
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