caa a22 4500 445360496 CHVBK 20180317142913.0 cr unu---uuuuu 170323e20110401xx s 000 0 eng 10.1007/s11071-010-9850-z doi (NATIONALLICENCE)springer-10.1007/s11071-010-9850-z The chaotic dynamics of the social behavior selection networks in crowd simulation [Elektronische Daten] [Xulin Xu, Zengqiang Chen, Guangya Si, Xiaofeng Hu, Yaqun Jiang, Xushan Xu] 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. Springer Science+Business Media B.V., 2010 Crowd simulation nationallicence Behavior selection nationallicence Complex networks nationallicence Nonlinear dynamics nationallicence Evolutionary game theory nationallicence Replicator-mutator equation nationallicence Xu Xulin Department of Information Operation and Command Training, National Defence University, 100091, Beijing, PR China aut Chen Zengqiang Department of Automation, Nankai University, 300071, Tianjin, PR China aut Si Guangya Department of Information Operation and Command Training, National Defence University, 100091, Beijing, PR China aut Hu Xiaofeng Department of Information Operation and Command Training, National Defence University, 100091, Beijing, PR China aut Jiang Yaqun Department of Information Operation and Command Training, National Defence University, 100091, Beijing, PR China aut Xu Xushan Department of Economics, Xiamen University, 361005, Xiamen, PR China aut Nonlinear Dynamics Springer Netherlands 64/1-2(2011-04-01), 117-126 0924-090X 64:1-2<117 2011 64 11071 https://doi.org/10.1007/s11071-010-9850-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11071-010-9850-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Xu Xulin Department of Information Operation and Command Training, National Defence University, 100091, Beijing, PR China aut NATIONALLICENCE 700 1- Chen Zengqiang Department of Automation, Nankai University, 300071, Tianjin, PR China aut NATIONALLICENCE 700 1- Si Guangya Department of Information Operation and Command Training, National Defence University, 100091, Beijing, PR China aut NATIONALLICENCE 700 1- Hu Xiaofeng Department of Information Operation and Command Training, National Defence University, 100091, Beijing, PR China aut NATIONALLICENCE 700 1- Jiang Yaqun Department of Information Operation and Command Training, National Defence University, 100091, Beijing, PR China aut NATIONALLICENCE 700 1- Xu Xushan Department of Economics, Xiamen University, 361005, Xiamen, PR China aut NATIONALLICENCE 773 0- Nonlinear Dynamics Springer Netherlands 64/1-2(2011-04-01), 117-126 0924-090X 64:1-2<117 2011 64 11071 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer