IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-981-16-8656-6_35.html
   My bibliography  Save this book chapter

Research on the Self-organization Model of the Internet Public Opinion

In: Liss 2021

Author

Listed:
  • Xiaolan Guan

    (Beijing Institute of Graphic Communication)

Abstract

In the era of new media, the way that public opinion aggregates has undergone a fundamental change, and the Internet has become the main battlefield of public opinion in our country. Therefore, how to correctly grasp the rules and characteristics of the dissemination of Internet public opinion, and explore the self-organization evolution model of Internet public opinion have become the major topics in communication and sociology in recent years. Using the Complex System theory, this paper researches the self-organization process of information during the evolution process of Internet public opinion. By constructing a Logistic model, we analyze the development space of Internet public opinion, the characteristics of the public opinion events, the internal competition and cooperation of Internet public opinion, and the influence of external interference on the evolution speed and extent of Internet public opinion.

Suggested Citation

  • Xiaolan Guan, 2022. "Research on the Self-organization Model of the Internet Public Opinion," Lecture Notes in Operations Research, in: Xianliang Shi & Gábor Bohács & Yixuan Ma & Daqing Gong & Xiaopu Shang (ed.), Liss 2021, pages 379-388, Springer.
  • Handle: RePEc:spr:lnopch:978-981-16-8656-6_35
    DOI: 10.1007/978-981-16-8656-6_35
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:lnopch:978-981-16-8656-6_35. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.