Abstract

Social cooperation networks are a kind of social networks in which individuals are linked through cooperation. Interference of economic crises, natural disasters and other emergencies may cause the node fails in social cooperation networks. To further study the influences of node failure on the total fitness degree and the cooperative ratio in social cooperation networks, the update rules of individual strategy and networks self-repair are constructed on the basis of the social cooperation networks and evolutionary game theory. For different types of social cooperation networks, the dynamic evolution in the cooperation networks with node failure is respectively analyzed by the agent-based simulation experiments. Simulation results show that the node failure not only reduces the total fitness degree of various social cooperation networks, but also reduces the cooperative ratio in two-group and multi-group cooperation networks. However, in the single-group cooperation networks, the cooperative ratio is improved by node failure. In addition, by introducing the self-repair rules, the emergence of a few of new cooperative nodes can break the stable state and promote the total fitness degree and the cooperative ratio of cooperation networks.

Keywords:

Evolution, node failure, social cooperation networks, simulation experiment,

References

Competing interests

The authors have no competing interests.

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Copyright

The authors have no competing interests.