IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/969087.html
   My bibliography  Save this article

Power-Law Properties of Human View and Reply Behavior in Online Society

Author

Listed:
  • Ye Wu
  • Qihui Ye
  • Lixiang Li
  • Jinghua Xiao

Abstract

Statistical properties of the human comment behavior are studied using data from “Tianya” and “Tieba” which are very popular online social systems (or forums) in China. We find that both the reply number R and the view number V of a thread in a subforum obey the power-law distributions and , respectively, which indicates that there exists a kind of highly popular topics. These topics should be specially paid much attention, because they play an important role in the public opinion formation and the public opinion control. In addition, the relationship between R and V also obeys the power-law function . Based on the human comment habit, a model is introduced to explain the human view and reply behaviors in the forum. Numerical simulations of the model fit well with the empirical results. Our findings are helpful for discovering collective patterns of human behaviors and the evolution of public opinions on the virtual society as well as the real one.

Suggested Citation

  • Ye Wu & Qihui Ye & Lixiang Li & Jinghua Xiao, 2012. "Power-Law Properties of Human View and Reply Behavior in Online Society," Mathematical Problems in Engineering, Hindawi, vol. 2012, pages 1-7, May.
    • Handle: RePEc:hin:jnlmpe:969087
    DOI: 10.1155/2012/969087
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2012/969087.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2012/969087.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2012/969087?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:hin:jnlmpe:969087. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.