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The chaotic dynamics of the social behavior selection networks in crowd simulation

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Abstract

This paper researches the nonlinear dynamics of the behavior selection networks (BSN) model by virtue of which we can understand the origin of flocking behaviors in social networks. To commentate the notion of BSN, this article introduces a social behavior selection model for evolutionary dynamics of behaviors in social networks that exhibits a rich set of emergent behaviors of evolution. For behavioral networks with different complex networks topology, we analyze the nonlinear dynamics including the chaotic dynamics by the numerical simulation tools. With changing the topological structure, the behavioral networks behave affluent dynamical phenomena. Lastly, we draw the conclusion and paste the prospection about the networks model.

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Authors and Affiliations

  1. Department of Information Operation and Command Training, National Defence University, Beijing, 100091, PR China

    Xulin Xu, Guangya Si, Xiaofeng Hu & Yaqun Jiang

  2. Department of Automation, Nankai University, Tianjin, 300071, PR China

    Zengqiang Chen

  3. Department of Economics, Xiamen University, Xiamen, 361005, PR China

    Xushan Xu

Authors
  1. Xulin Xu
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  2. Zengqiang Chen
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  3. Guangya Si
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  4. Xiaofeng Hu
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  5. Yaqun Jiang
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  6. Xushan Xu
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Correspondence to Xulin Xu.

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Xu, X., Chen, Z., Si, G. et al. The chaotic dynamics of the social behavior selection networks in crowd simulation. Nonlinear Dyn 64, 117–126 (2011). https://doi.org/10.1007/s11071-010-9850-z

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