• 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