IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v526y2019ics0378437119305898.html
   My bibliography  Save this article

Seeds selection for spreading in a weighted cascade model

Author

Listed:
  • Hong, Tao
  • Liu, Qipeng

Abstract

In this paper, we investigate the problem of selecting seeds for spreading in complex networks. We first propose a weighted cascade model in which a node in the network is activated with a probability related to its neighbor’s degree which represents the neighbor’s persuasiveness. Furthermore, we provide several heuristic algorithms with little computational burden for selecting seeds to start the spreading. In particular, we propose a heuristic algorithm based on the expected benefit of selecting a seed. By simulations on two real networks, we find that the proposed algorithm based on expected benefit is better than the classic network centralities, including degree and PageRank.

Suggested Citation

  • Hong, Tao & Liu, Qipeng, 2019. "Seeds selection for spreading in a weighted cascade model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
    • Handle: RePEc:eee:phsmap:v:526:y:2019:i:c:s0378437119305898
    DOI: 10.1016/j.physa.2019.04.179
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437119305898
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2019.04.179?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:eee:phsmap:v:526:y:2019:i:c:s0378437119305898. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.