IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v13y2017i4p1550147717704121.html
   My bibliography  Save this article

Diffusing information for mobile social networks under consideration of dynamic influence

Author

Listed:
  • Dong Jing
  • Ting Liu

Abstract

As the developments of new techniques, mobile social networks have been built wildly. To obtain and spread information over mobile social networks efficiently, the influence maximization problem is to find a seed nodes set with limited size such that it can influence as many nodes as possible. Previous works ignore the dynamic influence phenomenon of diffusing information on mobile social networks. In this article, we propose a new model to express the procedure of diffusing information under the existence of dynamic influence. Theoretical analysis shows that the influence maximization problem under new model is non-deterministic polynomial-time hard, and efficient approximation algorithm is proposed. Experimental studies on real data sets show that the new model can process dynamic influence well in the diffusing information procedure, and the proposed algorithms can solve the influence maximization problem on new model efficiently.

Suggested Citation

  • Dong Jing & Ting Liu, 2017. "Diffusing information for mobile social networks under consideration of dynamic influence," International Journal of Distributed Sensor Networks, , vol. 13(4), pages 15501477177, April.
    • Handle: RePEc:sae:intdis:v:13:y:2017:i:4:p:1550147717704121
    DOI: 10.1177/1550147717704121
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147717704121
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1550147717704121?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
    ---><---

    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:sae:intdis:v:13:y:2017:i:4:p:1550147717704121. 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: SAGE Publications (email available below). General contact details of provider: .

    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.