Strategy Diffusion and Conformity in Evolutionary Dynamics on General Networks

IF 2.4 Q2 AUTOMATION & CONTROL SYSTEMS
Rio Aurachman;Giuliano Punzo
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Abstract

Networks of social interactions can drive the dynamics of socio-technical systems. In groups, where strategic decisions are shaped by the tension between cooperation and defection, the replicator equation serves as a valuable tool underpinning the modelling of evolutionary dynamics of strategies. In this letter, we integrate the replicator dynamics with an SI (Susceptible-Infected) model for information diffusion in general networks. Considering also conformity, we model the evolution of cooperation in a public good game. The trajectories of the resulting dynamical systems converge to consensus about an internal point solution in the snowdrift setting and boundary solutions of full cooperation or full defection in social dilemmas, asymmetric games and stag hunt settings. Through the application of the Lyapunov stability theorem, we establish the stability of the internal equilibrium point. We then examine the basin of attraction obtaining the conditions leading to full cooperation. This letter is relevant for the study of social dynamics in groups where strategic interactions are mediated by conformity.
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来源期刊
IEEE Control Systems Letters
IEEE Control Systems Letters Mathematics-Control and Optimization
CiteScore
4.40
自引率
13.30%
发文量
471
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