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Diffusion of innovations in a social network under mixed Pareto–Nash strategies

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  • Rodrı́guez-Achach, M.
  • Casillas, L.
  • Espinosa, F.J.

Abstract

We study a simple model of diffusion of innovations in a network of agents that are characterized by their technological level. Agents can follow Nash or Pareto strategies when they decide whether to upgrade their level or not. We study the behavior of the average payoff per agent and the mean velocity of progress as function of the upgrading cost. We find that the strategy that maximizes the velocity of progress depends on the value of the upgrading cost, independently of the relative number of agents that use one or the other strategy.

Suggested Citation

  • Rodrı́guez-Achach, M. & Casillas, L. & Espinosa, F.J., 2004. "Diffusion of innovations in a social network under mixed Pareto–Nash strategies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 335(3), pages 671-676.
    • Handle: RePEc:eee:phsmap:v:335:y:2004:i:3:p:671-676
    DOI: 10.1016/j.physa.2003.12.025
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    Cited by:

    1. Lin, Ying-Ting & Han, Xiao-Pu & Wang, Bing-Hong, 2014. "Dynamics of human innovative behaviors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 74-81.

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