Literature DB >> 27739852

Evolution of cooperation under social pressure in multiplex networks.

María Pereda1.   

Abstract

In this work, we aim to contribute to the understanding of human prosocial behavior by studying the influence that a particular form of social pressure, "being watched," has on the evolution of cooperative behavior. We study how cooperation emerges in multiplex complex topologies by analyzing a particular bidirectionally coupled dynamics on top of a two-layer multiplex network (duplex). The coupled dynamics appears between the prisoner's dilemma game in a network and a threshold cascade model in the other. The threshold model is intended to abstract the behavior of a network of vigilant nodes that impose the pressure of being observed altering hence the temptation to defect of the dilemma. Cooperation or defection in the game also affects the state of a node of being vigilant. We analyze these processes on different duplex networks structures and assess the influence of the topology, average degree and correlated multiplexity, on the outcome of cooperation. Interestingly, we find that the social pressure of vigilance may impact cooperation positively or negatively, depending on the duplex structure, specifically the degree correlations between layers is determinant. Our results give further quantitative insights in the promotion of cooperation under social pressure.

Entities:  

Year:  2016        PMID: 27739852     DOI: 10.1103/PhysRevE.94.032314

Source DB:  PubMed          Journal:  Phys Rev E        ISSN: 2470-0045            Impact factor:   2.529


  2 in total

1.  Interplay between social influence and competitive strategical games in multiplex networks.

Authors:  Roberta Amato; Albert Díaz-Guilera; Kaj-Kolja Kleineberg
Journal:  Sci Rep       Date:  2017-08-01       Impact factor: 4.379

2.  Tolerant indirect reciprocity can boost social welfare through solidarity with unconditional cooperators in private monitoring.

Authors:  Isamu Okada; Tatsuya Sasaki; Yutaka Nakai
Journal:  Sci Rep       Date:  2017-08-29       Impact factor: 4.379

  2 in total

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