Impact of interaction style and degree on the evolution of cooperation on Barabási–Albert scale-free network

Fengjie Xie, Jing Shi and Jun Lin

PLOS ONE, 2017, vol. 12, issue 8, 1-15

Abstract: In this work, we study an evolutionary prisoner’s dilemma game (PDG) on Barabási–Albert scale-free networks with limited player interactions, and explore the effect of interaction style and degree on cooperation. The results show that high-degree preference interaction, namely the most applicable interaction in the real world, is less beneficial for emergence of cooperation on scale-free networks than random interaction. Besides, cooperation on scale-free networks is enhanced with the increase of interaction degree regardless whether the interaction is high-degree preference or random. If the interaction degree is very low, the cooperation level on scale-free networks is much lower than that on regular ring networks, which is against the common belief that scale-free networks must be more beneficial for cooperation. Our analysis indicates that the interaction relations, the strategy and the game payoff of high-connectivity players play important roles in the evolution of cooperation on scale-free networks. A certain number of interactions are necessary for scale-free networks to exhibit strong capability of facilitating cooperation. Our work provides important insight for members on how to interact with others in a social organization.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0182523

DOI: 10.1371/journal.pone.0182523

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