The prevalence of human cooperation continues to be one of the biggest puzzles for scientists. Structured interactions and clustering of cooperators are recognized mechanisms that help the dissemination of cooperative behavior. We analyze two dynamic micro structural mechanisms that may contribute to the evolution of cooperation. We concentrate on two mechanisms that have empirical justification: triadic closure and triadic balance. We study their relative efficiency under different parametric conditions, assuming that the structure of interactions itself might change endogenously as a result of previous encounters.

Triadic Balance and Closure as Drivers of the Evolution of Cooperation

RIGHI, SIMONE;
2014

Abstract

The prevalence of human cooperation continues to be one of the biggest puzzles for scientists. Structured interactions and clustering of cooperators are recognized mechanisms that help the dissemination of cooperative behavior. We analyze two dynamic micro structural mechanisms that may contribute to the evolution of cooperation. We concentrate on two mechanisms that have empirical justification: triadic closure and triadic balance. We study their relative efficiency under different parametric conditions, assuming that the structure of interactions itself might change endogenously as a result of previous encounters.
2014
Advances in Computational Social Science and Social Simulation: Proceedings of the European Social Simulations Association Conference 2014
121
124
Righi, Simone; Takacs, Karoly
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/579750
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