IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0170584.html
   My bibliography  Save this article

Structural Controllability of Temporal Networks with a Single Switching Controller

Author

Listed:
  • Peng Yao
  • Bao-Yu Hou
  • Yu-Jian Pan
  • Xiang Li

Abstract

Temporal network, whose topology evolves with time, is an important class of complex networks. Temporal trees of a temporal network describe the necessary edges sustaining the network as well as their active time points. By a switching controller which properly selects its location with time, temporal trees are used to improve the controllability of the network. Therefore, more nodes are controlled within the limited time. Several switching strategies to efficiently select the location of the controller are designed, which are verified with synthetic and empirical temporal networks to achieve better control performance.

Suggested Citation

  • Peng Yao & Bao-Yu Hou & Yu-Jian Pan & Xiang Li, 2017. "Structural Controllability of Temporal Networks with a Single Switching Controller," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-15, January.
    • Handle: RePEc:plo:pone00:0170584
    DOI: 10.1371/journal.pone.0170584
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0170584
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0170584&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0170584?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
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0170584. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.