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Updated: Jul 2, 2025
00:07
Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
Published on: August 21, 2019
8.4K
Coevolution of relationship and interaction in cooperative dynamical multiplex networks
Xiaojin Xiong1, Ziyan Zeng1, Minyu Feng1
1The College of Artificial Intelligence, Southwest University, No.2 Tiansheng Road, Beibei, Chongqing 400715, China.
Chaos (Woodbury, N.Y.)
|February 16, 2024
Summary
Social relations dynamics influence cooperation. A coevolutionary model in multiplex networks shows higher network connectivity aids cooperation, but strong relationship-fitness links hinder it. Polarization of relationships correlates with cooperation levels.
Area of Science:
- Complex Systems
- Social Network Analysis
- Game Theory
Background:
- Social interactions shape individual relationships and cooperation.
- Multiplex networks offer a framework to model dynamic social structures.
- The interplay between interaction payoffs and relationship strength is crucial for understanding cooperation.
Purpose of the Study:
- To investigate the coevolution of social relationships and cooperation in a multiplex network model.
- To explore how network topology and the coupling between relationship strength and fitness affect cooperation dynamics.
- To analyze the relationship between relationship index distribution and the prevalence of cooperation.
Main Methods:
- Developed a coevolutionary model on a multiplex network with two layers: interaction and relationship.
- Simulated the weak prisoner's dilemma game on the interaction layer, with payoffs influencing relationship weights.
- Incorporated a relationship index into player fitness, alongside game payoffs, and analyzed different relationship layer topologies.
Main Results:
- Higher average degree in the relationship layer generally promotes cooperation in regular graphs.
- Network randomness becomes critical for cooperation under challenging conditions.
- A stronger coupling between the relationship index and fitness was found to impede the evolution of cooperation.
Conclusions:
- Network structure and the feedback loop between relationships and fitness significantly impact cooperation.
- The findings highlight the complex dynamics governing cooperation in evolving social networks.
- Relationship index polarization serves as an indicator of the overall cooperation level within the population.
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