Public goods game on coevolving networks driven by the similarity and difference of payoff

Chaoqian Wang, Zongzhe Lin and Dale S. Rothman

Chaos, Solitons & Fractals, 2022, vol. 162, issue C

Abstract: Humans try to escape from their mundane lives and look for different experiences. Based on this assumption and story, this paper considers asynchronous public goods games on coevolving networks driven by payoff difference. Starting from a regular square lattice, agents disconnect from neighbors who have similar payoff, and they connect to new agents with different payoff. We measure network cohesion by the clustering coefficient. The results demonstrate multiple stages of the system. There are two stages where cooperation sustains. One is convex, and another is concave. When there is a shift from the defective stage to a cooperative one, the system generates a strong network cohesion facilitating cooperation to begin emerging. Near the tipping point of the two cooperative stages, the system strengthens the network cohesion to promote the stage transition. The time-dependent networks weaken the possibility of counteracting defection by forming cooperative alliances, which happens in the classic public goods game. However, the disconnection from similar payoff and the connection to different payoff can be matched appropriately to sustain cooperation best.

Keywords: Evolutionary game; Public goods game; Cooperation; Complex networks; Clustering coefficient (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077922006713
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:162:y:2022:i:c:s0960077922006713

DOI: 10.1016/j.chaos.2022.112461

Access Statistics for this article

Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros

More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().