Research Article | OPEN ACCESS
Dynamic Evolution in Social Cooperation Networks with Node Failure
1, 2Yaofeng Zhang and 2Renbin Xiao
1Institute of Systems Engineering, Huazhong University of Science and Technology,
Wuhan 430074, China
2Statistic and Applied Mathematics Department, Hubei University of Economics, Wuhan 430205, China
Research Journal of Applied Sciences, Engineering and Technology 2013 22:5278-5285
Received: October 22, 2012 | Accepted: December 20, 2012 | Published: May 25, 2013
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,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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