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