• DocumentCode
    175587
  • Title

    Improving controllability of complex networks by rewiring links regularly

  • Author

    Jiuqiang Xu ; Jinfa Wang ; Hai Zhao ; Siyuan Jia

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    642
  • Lastpage
    645
  • Abstract
    Network science have constantly been in the focus of research for the last decade, with considerable advances in the controllability of their structural. However, much less effort has been devoted to study that how to improve the controllability of complex networks. In this paper, a new algorithm is proposed to improve the controllability of complex networks by rewiring links regularly which transforms the network structure. Then it is demonstrated that our algorithm is very effective after numerical simulation experiment on typical network models (Erdös-Rényi and scale-free network). We find that our algorithm is mainly determined by the average degree and positive correlation of in-degree and out-degree of network and it has nothing to do with the network size. Furthermore, we analyze and discuss the correlation between controllability of complex networks and degree distribution index: power-law exponent and heterogeneity.
  • Keywords
    complex networks; controllability; network theory (graphs); Erdös-Rényi network model; average degree determination; complex network controllability improvement; degree distribution index; heterogeneity; network in-degree determination; network out-degree determination; network science; network structure; numerical simulation experiment; positive correlation determination; power-law exponent; rewiring links regularly algorithm; scale-free network model; structural controllability; Analytical models; Complex networks; Controllability; Correlation; Erbium; Indexes; Mathematical model; Complex Network; Controllability; Degree Correlation; Degree Distribution; Rewiring links;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852245
  • Filename
    6852245