Determinants of public cooperation in multiplex networks
| Autor: | Federico Battiston, Vito Latora, Matjaz Perc |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
FOS: Computer and information sciences
Physics - Physics and Society Computer science Evolutionary game theory multilayer networks FOS: Physical sciences General Physics and Astronomy Network science Public goods game Physics and Society (physics.soc-ph) 01 natural sciences 010305 fluids & plasmas Reciprocity (social psychology) 0103 physical sciences Quantitative Biology - Populations and Evolution evolutionary game theory 010306 general physics Resilience (network) public cooperation Social and Information Networks (cs.SI) Populations and Evolution (q-bio.PE) Computer Science - Social and Information Networks Public goods game public cooperation evolutionary game theory multiplex networks multilayer networks multiplex networks Data science Prosocial behavior Social system FOS: Biological sciences Reciprocity (network science) Enhanced Data Rates for GSM Evolution |
| Zdroj: | New Journal of Physics. 19:073017 |
| ISSN: | 1367-2630 |
| DOI: | 10.1088/1367-2630/aa6ea1 |
| Popis: | 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. Comment: 12 pages, 3 figures; accepted for publication in New Journal of Physics |
| Databáze: | OpenAIRE |
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