Evolutionary public goods games on hypergraphs with heterogeneous multiplication factors

被引:2
|
作者
Chen Wei-Ying [1 ]
Pan Jian-Chen [1 ]
Han Wen-Chen [2 ]
Huang Chang-Wei [1 ,3 ]
机构
[1] Guangxi Univ, Sch Comp Elect & Informat, Nanning 530004, Peoples R China
[2] Sichuan Normal Univ, Coll Phys & Elect Engn, Chengdu 610101, Peoples R China
[3] Guangxi Univ, Guangxi Key Lab Multimedia Commun & Network Techn, Nanning 530004, Peoples R China
基金
中国国家自然科学基金;
关键词
public goods game; complex networks; hypergraphs; heterogeneous multiplication factors; COOPERATION; PUNISHMENT; PROMOTES;
D O I
10.7498/aps.70.20212436
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The spatial structure and social diversity playing a nontrivial role in the emergence and maintenance ofcooperation among selfish individuals have been verified. Their effects on the evolution of cooperation haveattracted great attention in recent years. Most of previous evolutionary game dynamics is based on pairwiseinteractions. However, the interactions often take place within groups of people in many real situations andcannot be described simply by dyads. The dynamics of evolutionary games in systems with higher-orderinteractions has not yet been explored as deserved. In this paper, we introduce heterogeneous multiplicationfactors into the spatial public goods game to investigate the cooperative behaviors on the hypergraphs. Inaddition to the original model in which all groups have the same multiplication factor, three types ofheterogeneous multiplication factor distributions including uniform, exponential and power-law distributions areconsidered. The numerical simulation results show that the increase of the order g of the uniform randomhypergraphs is conducive to the emergence and prosperity of the individuals' cooperative behavior no matterwhat types these distributions belong to. Furthermore, compared with the results of the original spatial publicgoods games on hypergraphs, the heterogeneous multiplication factors following three different distributions canremarkably promote the evolution of cooperation. In particular, for most of ranges of the average rescalingmultiplication factor , the highest cooperation level can be obtained under the power-law distribution, whilethe uniform distribution leads to the lowest cooperation level. We provide an explanation through investigatingthe number of cooperators in each group. In addition, to probe into the essence that influences the survival ofcooperative behaviors, we study the time series of the fraction of groups with different numbers of cooperators.Besides, we also investigate the influence of the number of hyperlinks on cooperation evolution. We find thatthe results are robust against the number of hyperlinks L, and the emergence of cooperative behaviors in publicgoods games on hypergraphs is hindered with the value of L increasing. To some extent, these results arehelpful in the better understanding of the evolutionary dynamics of the spatial public goods games on hypergraphs with social diversity
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页数:10
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共 37 条
  • [1] Evolutionary dynamics of higher-order interactions in social networks
    Alvarez-Rodriguez, Unai
    Battiston, Federico
    de Arruda, Guilherme Ferraz
    Moreno, Yamir
    Perc, Matjaz
    Latora, Vito
    [J]. NATURE HUMAN BEHAVIOUR, 2021, 5 (05) : 586 - 595
  • [2] THE EVOLUTION OF COOPERATION
    AXELROD, R
    HAMILTON, WD
    [J]. SCIENCE, 1981, 211 (4489) : 1390 - 1396
  • [3] The physics of higher-order interactions in complex systems
    Battiston, Federico
    Amico, Enrico
    Barrat, Alain
    Bianconi, Ginestra
    Ferraz de Arruda, Guilherme
    Franceschiello, Benedetta
    Iacopini, Iacopo
    Kefi, Sonia
    Latora, Vito
    Moreno, Yamir
    Murray, Micah M.
    Peixoto, Tiago P.
    Vaccarino, Francesco
    Petri, Giovanni
    [J]. NATURE PHYSICS, 2021, 17 (10) : 1093 - 1098
  • [4] Networks beyond pairwise interactions: Structure and dynamics
    Battiston, Federico
    Cencetti, Giulia
    Iacopini, Iacopo
    Latora, Vito
    Lucas, Maxime
    Patania, Alice
    Young, Jean-Gabriel
    Petri, Giovanni
    [J]. PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2020, 874 : 1 - 92
  • [5] Determinants of public cooperation in multiplex networks
    Battiston, Federico
    Perc, Matjaz
    Latora, Vito
    [J]. NEW JOURNAL OF PHYSICS, 2017, 19
  • [6] Punishment and reputation in spatial public goods games
    Brandt, H
    Hauert, C
    Sigmund, K
    [J]. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2003, 270 (1519) : 1099 - 1104
  • [7] Evolution of Cooperation in the Presence of Higher-Order Interactions: From Networks to Hypergraphs
    Burgio, Giulio
    Matamalas, Joan T.
    Gomez, Sergio
    Arenas, Alex
    [J]. ENTROPY, 2020, 22 (07)
  • [8] Impact of individual response strategy on the spatial public goods game within mobile agents
    Chen, Mei-huan
    Wang, Li
    Wang, Juan
    Sun, Shi-wen
    Xia, Cheng-yi
    [J]. APPLIED MATHEMATICS AND COMPUTATION, 2015, 251 : 192 - 202
  • [9] Probabilistic sharing solves the problem of costly punishment
    Chen, Xiaojie
    Szolnoki, Attila
    Perc, Matjaz
    [J]. NEW JOURNAL OF PHYSICS, 2014, 16
  • [10] Chen XJ, 2012, PLOS ONE, V7, DOI [10.1371/journal.pone.0036895, 10.1371/journal.pone.0043724]