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- Title
Information sharing promotes cooperation among mobile individuals in multiplex networks.
- Authors
Li, Wen-Jing; Chen, Zhi; Jiang, Luo-Luo; Perc, Matjaz
- Abstract
Researchers have long been intrigued by cooperative behavior in populations of selfish individuals. Recently, the focus has shifted to how social networks shape human interactions, as well as cooperation and moral behavior in general. Real-world situations often require an interdependent network, combining multiple layers of sub-networks. Previous studies have mostly examined cases with similar network structures across layers. Here, we go beyond this by investigating a coupled bilayer network, comprising a real-world collaborative network and a scale-free network, using the Prisoner's Dilemma to study its evolutionary dynamics. Individuals make decisions through social learning, moving within or between layers. We introduce a parameter that measures individuals' ability to communicate across layers. Without this communication, both trans-layer mobility and network structures impact cooperation. A small trans-layer mobility probability boosts cooperation, but excessive mobility erodes network reciprocity, decreasing cooperation in the collaborative layer network. Cooperation frequency is generally lower in the collaborative layer network compared to isolated networks, with individuals migrating to the scale-free layer network. However, with some information exchange, trans-layer mobility facilitates mutual social learning, reversing the decline in cooperation in the collaborative layer network and promoting overall cooperation. These findings may offer insights into population migration as well as regional development strategies.
- Subjects
REGIONAL development; SOCIAL learning; SOCIAL interaction; SOCIAL networks; RESEARCH personnel
- Publication
Nonlinear Dynamics, 2024, Vol 112, Issue 22, p20339
- ISSN
0924-090X
- Publication type
Article
- DOI
10.1007/s11071-024-10100-4