IDEAS home Printed from https://ideas.repec.org/a/wsi/ijmpcx/v19y2008i01ns0129183108011966.html
   My bibliography  Save this article

Synchronization In The Family Of Chaotic Small-World Networks

Author

Listed:
  • LIANGMING HE

    (College of Physics and Electronic Engineering, Guangxi University for Nationalities, Nanning, 530006, P. R. China)

  • DUANWEN SHI

    (Department of Physics, Hainan Normal University, Haikou, 571158, P. R. China)

Abstract

In this paper we investigate by computer simulation the synchronizability of the family of small-world networks, which consists of identical chaotic units, such as the Lorenz chaotic system, the Chen chaotic system, Lü chaotic system, and the unified chaotic system (unit). It is shown that for weak coupling, synchronization clusters emerge in the networks whose disorder probabilitiespare large but do not emerge in the networks whose disorder probabilitiespare small; while for strong coupling under which the regular networks do not exhibit synchronization, all dynamical nodes, behaving as in the random networks, mutually synchronize in the networks which own very small disorder probabilitypand have both high degree of clustering and small average distance. Based on the concepts of clustering coefficientC(p), characteristic path lengthL(p)and global efficiencyE(G), these phenomena are discussed briefly.

Suggested Citation

  • Liangming He & Duanwen Shi, 2008. "Synchronization In The Family Of Chaotic Small-World Networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 111-123.
  • Handle: RePEc:wsi:ijmpcx:v:19:y:2008:i:01:n:s0129183108011966
    DOI: 10.1142/S0129183108011966
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0129183108011966
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0129183108011966?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Coninck, José C.P. & Ferrari, Fabiano A.S. & Reis, Adriane S. & Iarosz, Kelly C. & Caldas, Iberê L. & Batista, Antonio M. & Viana, Ricardo L., 2020. "Network properties of healthy and Alzheimer brains," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 547(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:ijmpcx:v:19:y:2008:i:01:n:s0129183108011966. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijmpc/ijmpc.shtml .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.