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Evolutionary games between authors and their editors

Author

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  • Rodriguez-Sánchez, Rosa
  • García, J.A.
  • Fdez-Valdivia, J.

Abstract

Here we examine the evolution of manuscript quality control between authors and their editors, using evolutionary games. Within these games, with a certain probability, authors prefer to submit manuscripts of low- or high-quality, and editors prefer to accept low- or high-quality manuscripts. The frequency with which authors (editors) choose to submit (accept) high-quality or low-quality manuscripts change over time in response to the decisions made by all authors and editors in the respective populations. Using this dynamical structure, we study which strategies become extinct and which survive, as well as whether the system approaches some stable end-point. We also explore a number of case studies for editors’ and authors’ beliefs about that the submitted manuscripts must be of quality. When these beliefs are too weak, the stable end-point of the evolution is a situation in which the scientific communication system will be so broken that it should be abandoned. By contrary, when editors’ beliefs are strong enough, scholarly communication will be reliable and will give the highest status to scientific research that is likely to be right and useful. In a third case study, when editors’ beliefs are not strong enough, the growing gap between the need for quality manuscripts and the quality of the material submitted threatens scientific communication. Computer simulations are used to mimic a real world system of authors and their editors.

Suggested Citation

  • Rodriguez-Sánchez, Rosa & García, J.A. & Fdez-Valdivia, J., 2016. "Evolutionary games between authors and their editors," Applied Mathematics and Computation, Elsevier, vol. 273(C), pages 645-655.
    • Handle: RePEc:eee:apmaco:v:273:y:2016:i:c:p:645-655
    DOI: 10.1016/j.amc.2015.10.034
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    References listed on IDEAS

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    1. Jose A. García & Rosa Rodriguez-Sánchez & Joaquín Fdez-Valdivia, 2015. "Bias and effort in peer review," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(10), pages 2020-2030, October.
    2. Carole J. Lee & Cassidy R. Sugimoto & Guo Zhang & Blaise Cronin, 2013. "Bias in peer review," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(1), pages 2-17, January.
    3. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    4. J. A. García & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia, 2015. "The author–editor game," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 361-380, July.
    5. Carole J. Lee & Cassidy R. Sugimoto & Guo Zhang & Blaise Cronin, 2013. "Bias in peer review," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 2-17, January.
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    Cited by:

    1. Jorge Chamorro-Padial & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia & J. A. Garcia, 2019. "An evolutionary explanation of assassins and zealots in peer review," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1373-1385, September.

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