Jul 2026· Proceedings of the National Academy of Sciences of the United States of America· Vol 123 28, pp.
e2530131123
· 0 citations· 33 references
PhysicsBiologyMedicine
Abstract
Understanding how cooperation persists despite the advantage of selfish behavior remains a central challenge in evolutionary dynamics. Classical models of public goods dilemmas predict dominance of defectors, yet natural and social systems often sustain cooperation. We study an eco-evolutionary public goods game on complex networks where cooperators and defectors diffuse at different rates. When the isolated system is in a defector-dominated coexistence regime, faster dispersal of defectors than cooperators leads to a symmetry-breaking transition that produces localized clusters of cooperators. In heterogeneous networks, nodes with higher connectivity become significantly more likely to exhibit cooperative dominance. A degree-based mean-field reduction supports this result by showing that network connectivity controls an effective coupling strength proportional to node degree, thereby producing a bifurcation that separates defector-dominated and cooperative states. We also address why not all hubs become cooperative by means of a multistability analysis. These results reveal how asymmetric mobility and heterogeneous connectivity jointly promote cooperation in structured populations.
A mathematical framework incorporating degree-dependent inertia is developed, wherein the tendency to maintain one’s strategy is determined by node degree, and self-loops are permitted, and self-loops are permitted, and self-loops are permitted.
Nan Jiang, Xiaomeng Li, Qing-Hua Chen et al.· Journal of Mathematical Biol...· 0 citations
This paper proposes a two-layer coupled network model integrating three neutral subpopulations, combining an upper human layer (Fermi rule) and a lower agent layer (Bush–Mosteller reinforcement learning) that consistently outperforms the canonical BM model.
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Since social interactions are inherently embedded in multiple relational contexts, single-network models often fall short in explaining the evolution of cooperation. This study develop a two-layer coevolutionary model where behavioral strategies in the upper interaction layer are coupled with the lower signed emotional...
The replicator equation is a central framework for studying frequency--dependent selection in ecology and evolutionary game theory. In well-mixed populations, the long-term outcome of a two-species system is determined by the signs of the pairwise invasion fitnesses, leading to dominance, coexistence, or bistability. H...
A reaction-diffusion framework on complex networks is developed to investigate how local bistability, dispersal, and network topology jointly determine infection dynamics, revealing how local nonlinearities and network heterogeneity interact to shape epidemic transitions.
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Modern societies comprise overlapping communities whose opinions evolve on strongly interacting networks that are often mutually antagonistic. We introduce a minimal antagonistic multiplex consensus model in which each layer follows intra-layer majority-rule dynamics, while inter-layer interactions are inhibitory. A me...
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