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Network Evolution Modeling and Simulation Based on SPD

  • Chen Yang
  • Zhao Yong
  • Xie Hongsheng
  • Wu Chuncheng
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4221)

Abstract

The researches on evolution of complex network focused on “how to form”, but ignored “why form like this”. From the view of cooperation evolution, based on spatial game theory, the individuals are classified into two types, and the micro-mechanism of individual choice is analyzed. At last, the model for social network structure evolving is built. The simulation is implemented by the multi-agent system simulation tool——Repast. By the criterion of degree distribution, clustering coefficient and average shortest path, the result is given. The conclusion shows that the evolving network has obvious small world property, and the cooperation evolution can explain why the real network forms like this to some extent. Another revelatory conclusion is that high social total profit will be gained through the improvement of the network structure even if the cooperators are few.

Keywords

Degree Distribution Cluster Coefficient Random Network Small World Small World Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Chen Yang
    • 1
  • Zhao Yong
    • 1
  • Xie Hongsheng
    • 1
  • Wu Chuncheng
    • 1
  1. 1.Institute of Systems EngineeringHuaZhong University of Science and TechnologyWuhanChina

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