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Towards the discovery of scientific revolutions in scientometric data

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  • Rogier Langhe

    (Ghent University)

Abstract

Paradigms and revolutions are popular concepts in science studies and beyond, yet their meaning is notoriously vague and their existence is widely disputed. Drawing on recent developments in agent-based modeling and scientometric data, this paper offers a precise conceptualization of paradigms and their dynamics, as well as a number of hypotheses that could in principle be used to test for the existence of scientific revolutions in scientometric data.

Suggested Citation

  • Rogier Langhe, 2017. "Towards the discovery of scientific revolutions in scientometric data," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 505-519, January.
    • Handle: RePEc:spr:scient:v:110:y:2017:i:1:d:10.1007_s11192-016-2108-x
    DOI: 10.1007/s11192-016-2108-x
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    References listed on IDEAS

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    1. Gigerenzer, Gerd & Todd, Peter M. & ABC Research Group,, 2000. "Simple Heuristics That Make Us Smart," OUP Catalogue, Oxford University Press, number 9780195143812.
    2. Arthur, W Brian, 1989. "Competing Technologies, Increasing Returns, and Lock-In by Historical Events," Economic Journal, Royal Economic Society, vol. 99(394), pages 116-131, March.
    3. Chen, Chaomei & Chen, Yue & Horowitz, Mark & Hou, Haiyan & Liu, Zeyuan & Pellegrino, Donald, 2009. "Towards an explanatory and computational theory of scientific discovery," Journal of Informetrics, Elsevier, vol. 3(3), pages 191-209.
    4. Amin Mazloumian & Young-Ho Eom & Dirk Helbing & Sergi Lozano & Santo Fortunato, 2011. "How Citation Boosts Promote Scientific Paradigm Shifts and Nobel Prizes," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-6, May.
    5. Henry Small, 2003. "Paradigms, citations, and maps of science: A personal history," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(5), pages 394-399, March.
    6. John D. Sterman & Jason Wittenberg, 1999. "Path Dependence, Competition, and Succession in the Dynamics of Scientific Revolution," Organization Science, INFORMS, vol. 10(3), pages 322-341, June.
    7. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    8. Bettencourt, Luís M.A. & Kaiser, David I. & Kaur, Jasleen, 2009. "Scientific discovery and topological transitions in collaboration networks," Journal of Informetrics, Elsevier, vol. 3(3), pages 210-221.
    9. Lee, You-Na & Walsh, John P. & Wang, Jian, 2015. "Creativity in scientific teams: Unpacking novelty and impact," Research Policy, Elsevier, vol. 44(3), pages 684-697.
    10. Werner Marx & Lutz Bornmann, 2013. "The emergence of plate tectonics and the Kuhnian model of paradigm shift: a bibliometric case study based on the Anna Karenina principle," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 595-614, February.
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    Cited by:

    1. Serhat Burmaoglu & Ozcan Saritas, 2019. "An evolutionary analysis of the innovation policy domain: Is there a paradigm shift?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 823-847, March.

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