Reciprocity in Spatial Evolutionary Public Goods Game on Double-layered Network

Overview

Journal Sci Rep

Specialty Science

Date 2016 Aug 10

PMID 27503801

Authors

Jinho Kim

Soon-Hyung Yook

Yup Kim

Affiliations

Soon will be listed here.

Abstract

Spatial evolutionary games have mainly been studied on a single, isolated network. However, in real world systems, many interaction topologies are not isolated but many different types of networks are inter-connected to each other. In this study, we investigate the spatial evolutionary public goods game (SEPGG) on double-layered random networks (DRN). Based on the mean-field type arguments and numerical simulations, we find that SEPGG on DRN shows very rich interesting phenomena, especially, depending on the size of each layer, intra-connectivity, and inter-connected couplings, the network reciprocity of SEPGG on DRN can be drastically enhanced through the inter-connected coupling. Furthermore, SEPGG on DRN can provide a more general framework which includes the evolutionary dynamics on multiplex networks and inter-connected networks at the same time.

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