Popularity-driven strategy updating rule promotes cooperation in the spatial prisoner's dilemma game

Jiwei Xu, Zhenghong Deng, Bo Gao, Qun Song, Zhihong Tian, Qiuling Wang, Mingyu Gao and Zhenxi Niu

Applied Mathematics and Computation, 2019, vol. 353, issue C, 82-87

Abstract: To explain the emergence and maintenance of cooperation is still a great challenge, many mechanisms have been put forward to solve it. Individual's popularity, which studied by many scholars, means the number of the same strategy adopted by its total neighbors. A well-known fact that high popularity often leads advantage position in the fierce competition and these individuals more likely to be imitated by others. In this paper, we consider a coevolutionary model to investigate the influence of popularity score on the evolution of cooperation, where individual with high popularity has larger ability to reproduce its strategy, whereas, individuals with low popularity have limited ability to reproduce their strategies. Numerical simulation results show that moderate range of popularity can promote cooperation, and the larger the value of Δ, the more sensitive of the reproductive ability, which leads to the higher level of cooperation. We further explain these phenomenon from the perspective of strategy conversion, it reveals that moderate popularity range enhances the reproductive ability and the cooperators can spread their strategies. Our findings may be useful for understanding the enduring cooperative behavior in the process of strategy reproduction.

Keywords: Cooperation; Coevolution; Prisoner's dilemma game; Popularity (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300319300773
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:353:y:2019:i:c:p:82-87

DOI: 10.1016/j.amc.2019.01.060

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().