Nonlinear Dynamics

, Volume 64, Issue 1, pp 117–126

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

  • Xulin Xu
  • Zengqiang Chen
  • Guangya Si
  • Xiaofeng Hu
  • Yaqun Jiang
  • Xushan Xu
Original Paper

DOI: 10.1007/s11071-010-9850-z

Cite this article as:
Xu, X., Chen, Z., Si, G. et al. Nonlinear Dyn (2011) 64: 117. doi:10.1007/s11071-010-9850-z

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.

Keywords

Crowd simulation Behavior selection Complex networks Nonlinear dynamics Evolutionary game theory Replicator–mutator equation 

Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  • Xulin Xu
    • 1
  • Zengqiang Chen
    • 2
  • Guangya Si
    • 1
  • Xiaofeng Hu
    • 1
  • Yaqun Jiang
    • 1
  • Xushan Xu
    • 3
  1. 1.Department of Information Operation and Command TrainingNational Defence UniversityBeijingPR China
  2. 2.Department of AutomationNankai UniversityTianjinPR China
  3. 3.Department of EconomicsXiamen UniversityXiamenPR China