Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009, Revised Papers, Part 2

Research Article

Emergence of Scale-Free Networks with Seceding Mechanism

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  • @INPROCEEDINGS{10.1007/978-3-642-02469-6_74,
        author={Xian-Min Geng and Guang-Hui Wen and Shu-Chen Wan and Jie-Yu Xiong},
        title={Emergence of Scale-Free Networks with Seceding Mechanism},
        proceedings={Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009, Revised Papers, Part 2},
        proceedings_a={COMPLEX PART 2},
        year={2012},
        month={5},
        keywords={Complex network Seceding mechanism Scale-free behavior},
        doi={10.1007/978-3-642-02469-6_74}
    }
    
  • Xian-Min Geng
    Guang-Hui Wen
    Shu-Chen Wan
    Jie-Yu Xiong
    Year: 2012
    Emergence of Scale-Free Networks with Seceding Mechanism
    COMPLEX PART 2
    Springer
    DOI: 10.1007/978-3-642-02469-6_74
Xian-Min Geng1,*, Guang-Hui Wen1, Shu-Chen Wan1, Jie-Yu Xiong2
  • 1: Nanjing University of Aeronautics and Astronautics
  • 2: Jiangsu Teachers University of Technology
*Contact email: xianmin.g@nuaa.edu.cn

Abstract

In order to explore further the underlying mechanism of the scale-free networks, we study stochastic secession as a mechanism for the creation of complex networks. In this evolution the network growth incorporates the addition of new links between existing nodes, the deleting and rewiring of some existing links, and the stochastic secession of nodes. To random growing networks with preferential attachment, the model yields scale-free behavior for the degree distribution. Furthermore, we get the analytical expression of the power law degree distribution with scaling exponent ranges from 1.1 to 9. The analytical expressions are in good agreement with the numerical simulation results.