Intergroup information exchange drives cooperation in the public goods game

Gracia-Lázaro, Carlos; Gómez‐Gardeñes, Jesús; Floría, L. M.; Moreno, Yamir

doi:10.1103/physreve.90.042808

Cited by 21 publications

(19 citation statements)

References 35 publications

(48 reference statements)

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“…The game can be implemented on structured populations, where players are placed on the nodes of a graph and interact through their links. The results usually show that, while in well-mixed populations cooperators extinguish quickly, repeated local interactions among the same players allow the formation of clusters of cooperators which are able to survive [70][71][72][73][74][75].…”

Section: Public Goods Game In the Multiplexmentioning

confidence: 99%

Determinants of public cooperation in multiplex networks

Battiston¹,

Perc²,

Latora³

2017

New J. Phys.

112

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Synergies between evolutionary game theory and statistical physics have significantly improved our understanding of public cooperation in structured populations. Multiplex networks, in particular, provide the theoretical framework within network science that allows us to mathematically describe the rich structure of interactions characterizing human societies. While research has shown that multiplex networks may enhance the resilience of cooperation, the interplay between the overlap in the structure of the layers and the control parameters of the corresponding games has not yet been investigated. With this aim, we consider here the public goods game on a multiplex network, and we unveil the role of the number of layers and the overlap of links, as well as the impact of different synergy factors in different layers, on the onset of cooperation. We show that enhanced public cooperation emerges only when a significant edge overlap is combined with at least one layer being able to sustain some cooperation by means of a sufficiently high synergy factor. In the absence of either of these conditions, the evolution of cooperation in multiplex networks is determined by the bounds of traditional network reciprocity with no enhanced resilience. These results caution against overly optimistic predictions that the presence of multiple social domains may in itself promote cooperation, and they help us better understand the complexity behind prosocial behavior in layered social systems.

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Section: Public Goods Game In the Multiplexmentioning

confidence: 99%

Determinants of public cooperation in multiplex networks

Battiston¹,

Perc²,

Latora³

2017

New J. Phys.

112

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show abstract

“…On the practical side, the study of this topic contributes to the understanding of behaviors of epidemics, while on the theoretical side, it provides a simple dynamical framework to demonstrate rich phase diagrams for analysis. Several mathematical models have been proposed to describe common infectious diseases, including two-state SIS model and threestate SIR model with S standing for susceptible, I for infected, and R for recovery in the epidemiological terminology [3,4]. A variety of methods have been developed to analyze the epidemic spreading processes, including generating function [5,6], pair-approximation [7], heterogeneous mean field theory [8][9][10], probability generating function [11,12], and branching process approximation [13,14].…”

Section: Introductionmentioning

confidence: 99%

Effective degree theory for awareness and epidemic spreading on multiplex networks

Zhou

Chen

et al. 2019

New J. Phys.

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Epidemic spreading processes on multiplex networks have richer dynamical properties than those on single layered networks. To describe the intertwined processes on such networks, heterogeneous mean field (HMF) approach for continuous-time processes and microscopic Markov chain approach for discrete-time processes have been proposed. However, it has been shown that the time evolution of infected individuals and the final epidemic size obtained from these approaches have noticeable discrepancy comparing to those from Monte Carlo simulations. In this paper, we extend the approach of effective degree theory (EDT) on multiplex networks. We will show that predictions obtained from the EDT have excellent agreement with Monte Carlo simulations. Moreover, since the dynamics on multiplex networks involve more dynamical variables, which may invoke more computations, to reduce the computational burden, we further develop an approach based on partial effective degree theory (PEDT) for analyzing the dynamics on multiplex networks, where one layer adopts EDT and the other layer adopts the HMF. Our results show that PEDT has a good performance in predicting the target dynamical process.

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“…Many models, such as DeGroot model [4], Sznajd model [5], discrete CODA model [6], Hegselmann-Krause model [7], generalized Glauber models [8], Deffuant model [9], have been developed to simulate interaction mechanisms of opinions. In recent years, game theory, which provides a useful framework to build foundational models to mimick the interactions among agents with conflict of interests in many disciplines [10][11][12][13][14][15][16][17][18][19], has also been used in these fields to help understand opinion formation and evolution. With respect to opinion formation, a lot of game models have been proposed or used in previous studies [20][21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Quantum games of opinion formation based on the Marinatto-Weber quantum game scheme

Deng¹,

Deng²,

Liu³

et al. 2016

EPL

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Quantization becomes a new way to study classical game theory since quantum strategies and quantum games have been proposed. In previous studies, many typical game models, such as prisoner's dilemma, battle of the sexes, Hawk-Dove game, have been investigated by using quantization approaches.In this paper, several game models of opinion formations have been quantized based on the Marinatto-Weber quantum game scheme, a frequently used scheme to convert classical games to quantum versions. Our results show that the quantization can change fascinatingly the properties of some classical opinion formation game models so as to generate win-win outcomes.

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Intergroup information exchange drives cooperation in the public goods game

Cited by 21 publications

References 35 publications

Determinants of public cooperation in multiplex networks

Determinants of public cooperation in multiplex networks

Effective degree theory for awareness and epidemic spreading on multiplex networks

Quantum games of opinion formation based on the Marinatto-Weber quantum game scheme

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