Coevolution of cooperation and complex networks via indirect reciprocity

Abstract

Most previous research on indirect reciprocity was in well-mixed population. Distinguishing the interacting network from learning network provides a chance to study indirect reciprocity in networks. Unlike previous research, we propose a coevolution model of cooperation and complex networks via indirect reciprocity, where an individual can interact globally but update strategy locally. Based on this model, we describe the simulation results of coevolution, including the effects of rewiring mechanism on the evolution of cooperation, and how the evolution of cooperation affects networks restructure. Results show that rewiring mechanism favors the evolution of cooperation and the evolution of cooperation can restructure social networks. To understand and explain the results in detail, we graphically depict the snapshots of coevolution process. These findings facilitate us to further understand the evolution of cooperation and the restructure of complex networks.