DocumentCode :
47625
Title :
When Structure Meets Function in Evolutionary Dynamics on Complex Networks
Author :
Shaolin Tan ; Jinhu Lu ; Guanrong Chen ; Hill, David J.
Author_Institution :
Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
Volume :
14
Issue :
4
fYear :
2014
fDate :
Fourthquarter 2014
Firstpage :
36
Lastpage :
50
Abstract :
Evolutionary dynamics play a fundamental role in exploring the underlying mechanism of collective behaviors over a multi-agent network. Traditionally, evolutionary dynamics focus on the analysis of evolutionary behaviors of unstructured complex systems. However, recent research reveals that system structure is essential in the formation of collective behaviors. This article shows the intrinsic relation between structure and function of a complex dynamical network with evolutionary dynamics. In particular, the impact of node dynamics and network structure on evolutionary dynamics is investigated. Methods are given to find invasion hubs of a network and to design efficient networks for innovation diffusion. Moreover, it discusses some potential real-world applications and highlights some challenging problems for future studies.
Keywords :
complex networks; multi-agent systems; collective behaviors; complex dynamical network; evolutionary behaviors; evolutionary dynamics; innovation diffusion; multiagent network; network structure; node dynamics; system structure; unstructured complex systems; Complex networks; Peer-to-peer computing; Power system dynamics;
fLanguage :
English
Journal_Title :
Circuits and Systems Magazine, IEEE
Publisher :
ieee
ISSN :
1531-636X
Type :
jour
DOI :
10.1109/MCAS.2014.2360790
Filename :
6961001
Link To Document :
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