IDEAS home Printed from https://ideas.repec.org/a/wsi/ijmpcx/v28y2017i09ns012918311750111x.html
   My bibliography  Save this article

Exploring activity-driven network with biased walks

Author

Listed:
  • Yan Wang

    (College of Mathematics and Systems Science, Guangdong Polytechnic Normal University, Guangzhou 510665, P. R. China)

  • Ding Juan Wu

    (School of Health Management, Guangzhou Medical University, Guangzhou 510006, P. R. China)

  • Fang Lv

    (Department of Mathematics, Luoyang Normal University, Luoyang 471934, P. R. China)

  • Meng Long Su

    (Department of Mathematics, Luoyang Normal University, Luoyang 471934, P. R. China)

Abstract

We investigate the concurrent dynamics of biased random walks and the activity-driven network, where the preferential transition probability is in terms of the edge-weighting parameter. We also obtain the analytical expressions for stationary distribution and the coverage function in directed and undirected networks, all of which depend on the weight parameter. Appropriately adjusting this parameter, more effective search strategy can be obtained when compared with the unbiased random walk, whether in directed or undirected networks. Since network weights play a significant role in the diffusion process.

Suggested Citation

  • Yan Wang & Ding Juan Wu & Fang Lv & Meng Long Su, 2017. "Exploring activity-driven network with biased walks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 28(09), pages 1-10, September.
    • Handle: RePEc:wsi:ijmpcx:v:28:y:2017:i:09:n:s012918311750111x
    DOI: 10.1142/S012918311750111X
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S012918311750111X
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S012918311750111X?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.

    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:28:y:2017:i:09:n:s012918311750111x. 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.