IDEAS home Printed from https://ideas.repec.org/a/wsi/ijmpcx/v30y2019i01ns0129183119500128.html
   My bibliography  Save this article

Seed selection for technology innovation diffusion in complex networks

Author

Listed:
  • Shibo Wang

    (Economics and Management School, Harbin Engineering University, Harbin 150001, P. R. China†Economics and Management School, Qiqihar University, Qiqihar 161006, P. R. China)

  • Jinlou Zhao

    (Economics and Management School, Harbin Engineering University, Harbin 150001, P. R. China)

  • Jiannan Yu

    (Economics and Management School, Harbin Engineering University, Harbin 150001, P. R. China)

Abstract

At present, the competition between enterprises is increasingly fierce. If the enterprise wants to obtain the competitive advantage, the innovation is an effective means; innovation is the basis of an enterprise’s survival and development: all enterprises strive to improve their competitiveness through innovation; however, the effects of innovation diffusion will eventually restrict their development. This study, using a complex network approach, establishes a nonlinear technology innovation diffusion cascade model aimed at identifying the best seeds to foster the process of technology innovation diffusion by searching for the important nodes scattered throughout different communities to spread technology innovation and achieve the maximum diffusion effect. Through an analysis of simulated and real networks, we found that our method can both improve the speed of technology innovation diffusion and enhance the diffusion effect, which can provide advantages to enterprises and help promote innovation.

Suggested Citation

  • Shibo Wang & Jinlou Zhao & Jiannan Yu, 2019. "Seed selection for technology innovation diffusion in complex networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 30(01), pages 1-12, January.
    • Handle: RePEc:wsi:ijmpcx:v:30:y:2019:i:01:n:s0129183119500128
    DOI: 10.1142/S0129183119500128
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0129183119500128
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0129183119500128?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:wsi:ijmpcx:v:30:y:2019:i:01:n:s0129183119500128. 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.