The impact of dynamic linking on cooperation on complex networks
Xiaoqian Zhao1, Kaipeng Hu1, Yewei Tao1
1School of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming 650221, China.
Chaos (Woodbury, N.Y.)
|July 12, 2024
Summary
Dynamic networks disrupt cooperation in the prisoner's dilemma game. Higher connectivity nodes show resilience, but overall cooperation declines over time due to network changes.
Area of Science:
- Complex Systems
- Network Science
- Game Theory
Background:
- Individuals interact on dynamic networks in complex social systems.
- The environment and relationships within these systems are constantly changing.
- Understanding cooperation evolution is key in these dynamic settings.
Purpose of the Study:
- To investigate how individuals in dynamic networks adapt their competitive environment during a prisoner's dilemma game.
- To analyze the influence of random edge breaks and reconnections on cooperative behavior.
- To understand the impact of incomplete information and adverse local conditions on cooperation.
Main Methods:
- Simulating a prisoner's dilemma game on dynamic networks.
- Introducing random edge breaks and reconnections to model network changes.
- Analyzing the evolution of cooperative behavior under varying network conditions and time scales.
Main Results:
- Random edge breaks and reconnections significantly disrupt cooperative clusters, hindering cooperation.
- The negative impact on cooperation is more pronounced over larger time scales.
- Nodes with higher connectivity demonstrate greater resilience to cooperation disruption.
Conclusions:
- Dynamic network structures profoundly impact the evolution of cooperation.
- Network topology and changes play a critical role in fostering or inhibiting cooperative behavior.
- Higher node connectivity can mitigate the negative effects of network dynamics on cooperation.
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