Popularity-driven fitness calculation promotes cooperation in spatial prisoner's dilemma game

被引:12
作者
Li, Shulan [1 ]
Hong, Lijun [2 ]
Geng, Yini [2 ]
Shen, Chen [2 ]
机构
[1] Yunnan Univ Finance & Econ, Sch Accounting, Kunming 650221, Yunnan, Peoples R China
[2] Yunnan Univ Finance & Econ, Sch Stat & Math, Kunming 650221, Yunnan, Peoples R China
关键词
Cooperation; Popularity; Prisoner's dilemma game; EVOLUTIONARY GAMES; NETWORKS; PUNISHMENT; DYNAMICS;
D O I
10.1016/j.chaos.2020.109701
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
It has been shown that an individual's popularity is a crucial factor that favors cooperation. However, it is not yet well understood how an individual's popularity affects the evolution of cooperation. In this paper, we propose a simple model to explore this important and interesting issue in spatial prisoner's dilemma game. Our proposed model integrates an individual's popularity into the calculation of an individual's fitness via a single parameter alpha, where a positive alpha enables popular individuals to receive relatively higher fitness and a negative alpha enables popular individuals to receive relatively lower fitness. When alpha equals to zero, our model leaves the popularity out and degenerates into the traditional version, in which cooperation goes extinct rapidly. Extensive numerical simulations show that a positive alpha supports the evolution of cooperation and can even yield the full cooperation phase. In contrast, a negative alpha can still facilitate cooperation but hardly dominate in the population. We study its potential mechanism from the viewpoint of evolutionary snapshots. Besides, we further use the mean-field theory to analyze the proposed model, and the theoretical results are consistent with those from simulations. Therefore, our findings provide a deeper understanding of the role of popularity in the evolution of cooperation. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:5
相关论文
共 61 条
[1]   Cooperation in two-dimensional mixed-games [J].
Amaral, Marco A. ;
Wardil, Lucas ;
da Silva, Jafferson K. L. .
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, 2015, 48 (44)
[2]   Enhancement of cooperation in highly clustered scale-free networks [J].
Assenza, Salvatore ;
Gomez-Gardenes, Jesus ;
Latora, Vito .
PHYSICAL REVIEW E, 2008, 78 (01)
[3]   THE FURTHER EVOLUTION OF COOPERATION [J].
AXELROD, R ;
DION, D .
SCIENCE, 1988, 242 (4884) :1385-1390
[4]   THE EVOLUTION OF COOPERATION [J].
AXELROD, R ;
HAMILTON, WD .
SCIENCE, 1981, 211 (4489) :1390-1396
[5]   Reward, Punishment, and Cooperation: A Meta-Analysis [J].
Balliet, Daniel ;
Mulder, Laetitia B. ;
Van Lange, Paul A. M. .
PSYCHOLOGICAL BULLETIN, 2011, 137 (04) :594-615
[6]   Emergence of scaling in random networks [J].
Barabási, AL ;
Albert, R .
SCIENCE, 1999, 286 (5439) :509-512
[7]   Promotion of cooperation induced by appropriate payoff aspirations in a small-world networked game [J].
Chen, Xiaojie ;
Wang, Long .
PHYSICAL REVIEW E, 2008, 77 (01)
[8]   Reputation-based popularity promotes cooperation in the spatial prisoner's dilemma game [J].
Chu, Chen ;
Zhai, Yao ;
Mu, Chunjiang ;
Hu, Die ;
Li, Tong ;
Shi, Lei .
APPLIED MATHEMATICS AND COMPUTATION, 2019, 362
[9]   Aspiration-based coevolution of node weights promotes cooperation in the spatial prisoner's dilemma game [J].
Chu, Chen ;
Mu, Chunjiang ;
Liu, Jinzhuo ;
Liu, Chen ;
Boccaletti, Stefano ;
Shi, Lei ;
Wang, Zhen .
NEW JOURNAL OF PHYSICS, 2019, 21 (06)
[10]   Self-organized interdependence among populations promotes cooperation by means of coevolution [J].
Chu, Chen ;
Hu, Xintao ;
Shen, Chen ;
Li, Tong ;
Boccaletti, Stefano ;
Shi, Lei ;
Wang, Zhen .
CHAOS, 2019, 29 (01)