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Coordination on Networks: Does Topology Matter?

Author

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  • Alberto Antonioni
  • Maria Paula Cacault
  • Rafael Lalive
  • Marco Tomassini

Abstract

Effective coordination is key to many situations that affect the well-being of two or more humans. Social coordination can be studied in coordination games between individuals located on networks of contacts. We study the behavior of humans in the laboratory when they play the Stag Hunt game – a game that has a risky but socially efficient equilibrium and an inefficient but safe equilibrium. We contrast behavior on a cliquish network to behavior on a random network. The cliquish network is highly clustered and resembles more closely to actual social networks than the random network. In contrast to simulations, we find that human players dynamics do not converge to the efficient outcome more often in the cliquish network than in the random network. Subjects do not use pure myopic best-reply as an individual update rule. Numerical simulations agree with laboratory results once we implement the actual individual updating rule that human subjects use in our laboratory experiments.

Suggested Citation

  • Alberto Antonioni & Maria Paula Cacault & Rafael Lalive & Marco Tomassini, 2013. "Coordination on Networks: Does Topology Matter?," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-11, February.
  • Handle: RePEc:plo:pone00:0055033
    DOI: 10.1371/journal.pone.0055033
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    References listed on IDEAS

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    Cited by:

    1. Vincent Buskens & Chris Snijders, 2016. "Effects of Network Characteristics on Reaching the Payoff-Dominant Equilibrium in Coordination Games: A Simulation study," Dynamic Games and Applications, Springer, vol. 6(4), pages 477-494, December.
    2. Cartwright, Edward & Singh, Thomas B., 2018. "Observation and contagion effects in cooperation: An experimental investigation," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 74(C), pages 151-160.
    3. Francesca Lipari & Massimo Stella & Alberto Antonioni, 2019. "Investigating Peer and Sorting Effects within an Adaptive Multiplex Network Model," Games, MDPI, vol. 10(2), pages 1-12, March.
    4. Sanjeev Goyal & Penélope Hernández & Guillem Martínez-Cánovas & Frédéric Moisan & Manuel Muñoz-Herrera & Angel Sánchez, 2021. "Integration and diversity," Experimental Economics, Springer;Economic Science Association, vol. 24(2), pages 387-413, June.
      • Goyal, S. & Hernández, P. & Muñnez-Cánovasz, G. & Moisan, F. & Muñoz-Herrera, M. & Sánchez, A., 2017. "Integration and Diversity," Cambridge Working Papers in Economics 1721, Faculty of Economics, University of Cambridge.
      • Sanjeev Goyal & Pénélope Hernández & Guillem Martínez-Cánovas & Frédéric Moisan & Manuel Muñoz-Herrera & Ángel Sánchez, 2021. "Integration and diversity," Post-Print halshs-03051962, HAL.
      • Sanjeev Goyal & Penelope Hernandez & Guillem Martinez-Canovas & Frederic Moisan & Manuel Munoz-Herrera & Angel Sanchez, 2019. "Integration and Diversity," Working Papers 20190025, New York University Abu Dhabi, Department of Social Science, revised Sep 2020.
      • Sanjeev Goyal & Penélope Hernández & Guillem Martínez-Cánovas & Frederic Moisan & Manuel Muñoz-Herrera & Angel Sánchez, 2021. "Integration and Diversity," Post-Print hal-03188210, HAL.
    5. Abhimanyu Khan & Ronald Peeters & Frank Thuijsman & Philippe Uyttendaele, 2016. "Network Characteristics Enabling Efficient Coordination: A Simulation Study," Dynamic Games and Applications, Springer, vol. 6(4), pages 495-519, December.

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