Federico Battiston (Author), Matjaž Perc (Author), Vito Latora (Author)

Abstract

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.

Keywords

sodelovanje;javne dobrine;omrežja;fizika socioloških sistemov;ne zaključna dela;cooperation;public goods;networks;physics of social systems;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM FNM - Faculty of Natural Sciences and Mathematics
UDC: 53
COBISS: 23279368 Link will open in a new window
ISSN: 1367-2630
Views: 1065
Downloads: 372
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Other data

Secondary language: Slovenian
Secondary keywords: Teorija iger;Statistična fizika;Analiza omrežij (družbene vede);Družbena dejstva;Kooperacija;
URN: URN:SI:UM:
Type (COBISS): Article
Pages: str. 073017-1-073017-8
Issue: ǂVol. ǂ19
Chronology: Jul. 2017
DOI: 10.1088/1367-2630/aa6ea1
ID: 10884833