DocumentCode :
523615
Title :
Modeling Behaviors Selection in Crowd Simulation of Social Networks
Author :
Xu, Xulin ; Hu, Xiaofeng ; Si, Guangya ; Chen, Zengqiang
Author_Institution :
Dept. of Autom., Nankai Univ., Tianjin, China
Volume :
2
fYear :
2010
fDate :
11-12 May 2010
Firstpage :
718
Lastpage :
721
Abstract :
This paper applies dynamics model to understand the origin of dominant behaviors in social networks that generally lead to emergence of personage, i.e. few leaders with overwhelming popular support. We commentate the notion of behaviors selection networks and introduce an improved social behaviors selection model for evolutionary dynamics of behaviors in social networks that exhibits a rich set of emergent behaviors of evolution. For behavioral networks with complex networks topology, we demonstrate the existence of phase transition curves relating diversity of behaviors. By virtue of changing the topological structure, the behavioral networks behave affluent dynamical phenomena. Lastly we draw the conclusion that evolutionary dynamics are determined by both individuals´ behaviors and relationship topology, and paste the prospection about the networks model.
Keywords :
complex networks; digital simulation; social networking (online); behaviors selection networks; complex networks topology; crowd simulation; phase transition curves; social networks; Behaviors Selection; Complex Networks; Crowd Simulation; Emergence; Social Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
Type :
conf
DOI :
10.1109/ICICTA.2010.27
Filename :
5522686
Link To Document :
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