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Quantifying the Role of Homophily in Human Cooperation Using Multiplex Evolutionary Game Theory

Author

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  • Alessandro Di Stefano
  • Marialisa Scatà
  • Aurelio La Corte
  • Pietro Liò
  • Emanuele Catania
  • Ermanno Guardo
  • Salvatore Pagano

Abstract

Nature shows as human beings live and grow inside social structures. This assumption allows us to explain and explore how it may shape most of our behaviours and choices, and why we are not just blindly driven by instincts: our decisions are based on more complex cognitive reasons, based on our connectedness on different spaces. Thus, human cooperation emerges from this complex nature of social network. Our paper, focusing on the evolutionary dynamics, is intended to explore how and why it happens, and what kind of impact is caused by homophily among people. We investigate the evolution of human cooperation using evolutionary game theory on multiplex. Multiplexity, as an extra dimension of analysis, allows us to unveil the hidden dynamics and observe non-trivial patterns within a population across network layers. More importantly, we find a striking role of homophily, as the higher the homophily between individuals, the quicker is the convergence towards cooperation in the social dilemma. The simulation results, conducted both macroscopically and microscopically across the network layers in the multiplex, show quantitatively the role of homophily in human cooperation.

Suggested Citation

  • Alessandro Di Stefano & Marialisa Scatà & Aurelio La Corte & Pietro Liò & Emanuele Catania & Ermanno Guardo & Salvatore Pagano, 2015. "Quantifying the Role of Homophily in Human Cooperation Using Multiplex Evolutionary Game Theory," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-21, October.
    • Handle: RePEc:plo:pone00:0140646
    DOI: 10.1371/journal.pone.0140646
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    Cited by:

    1. Anson Au, 2023. "A Theoretical Examination of Homophily Beyond Focus Theory: Causes, Consequences, and New Directions," SAGE Open, , vol. 13(2), pages 21582440231, May.
    2. Angela C M de Oliveira & John M Spraggon & Matthew J Denny, 2016. "Instrumenting Beliefs in Threshold Public Goods," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-15, February.
    3. Avin, Chen & Daltrophe, Hadassa & Keller, Barbara & Lotker, Zvi & Mathieu, Claire & Peleg, David & Pignolet, Yvonne-Anne, 2020. "Mixed preferential attachment model: Homophily and minorities in social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 555(C).
    4. Cimpeanu, Theodor & Di Stefano, Alessandro & Perret, Cedric & Han, The Anh, 2023. "Social diversity reduces the complexity and cost of fostering fairness," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
    5. Gao, Bo & Deng, Zhenghong & Zhao, Dawei, 2016. "Competing spreading processes and immunization in multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 93(C), pages 175-181.
    6. Allen, James M. & Hoyle, Rebecca B., 2017. "Asynchronous updates can promote the evolution of cooperation on multiplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 607-619.
    7. Scatà, Marialisa & Di Stefano, Alessandro & La Corte, Aurelio & Liò, Pietro & Catania, Emanuele & Guardo, Ermanno & Pagano, Salvatore, 2016. "Combining evolutionary game theory and network theory to analyze human cooperation patterns," Chaos, Solitons & Fractals, Elsevier, vol. 91(C), pages 17-24.
    8. Bernhard Christopher Dannemann, 2020. "Better Off On Their Own? How Peer Effects Determine International Patterns of the Mathematics Gender Achievement Gap," Working Papers V-433-20, University of Oldenburg, Department of Economics, revised Nov 2020.

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