Journal article

The evolution of cooperation on geographical networks

Yixiao Li, Yi Wang, Jichuan Sheng

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | ELSEVIER | Published : 2017

Abstract

We study evolutionary public goods game on geographical networks, i.e., complex networks which are located on a geographical plane. The geographical feature effects in two ways: In one way, the geographically-induced network structure influences the overall evolutionary dynamics, and, in the other way, the geographical length of an edge influences the cost when the two players at the two ends interact. For the latter effect, we design a new cost function of cooperators, which simply assumes that the longer the distance between two players, the higher cost the cooperator(s) of them have to pay. In this study, network substrates are generated by a previous spatial network model with a cost-ben..

View full abstract

University of Melbourne Researchers

Grants

Awarded by NSFC


Awarded by Zhejiang Provincial Natural Science Foundation


Funding Acknowledgements

The authors acknowledge the supports from the NSFC (61403338) and the Zhejiang Provincial Natural Science Foundation (LQ15F030002, LY17A020007).