IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-7908-2739-2_17.html
   My bibliography  Save this book chapter

Asymmetric 2-Mode Network in Social Computing and Decomposition Algorithm

In: Emerging Themes in Information Systems and Organization Studies

Author

Listed:
  • Shuren Zhang

    (Alibaba Business College,Hangzhou Normal University)

  • Yu Chen

    (Information College, Renmin University)

  • Meiqi Fang

    (Information College, Renmin University)

Abstract

In Social Network Service (SNS) using Web2.0 technologies, new social structures are constructed bottom-up. Such social emergence has recently drawn many interests. New social structures are characterized by the social relation formed from the gradual development among the users in the system. In this world, the optimization of the social structure and the organization of the information in Web2.0 communities can be improved with complex network decomposition, on-line social network analysis, and other methods. Such a cross field covering man-machine interaction design, complex network computing and social network analysis is known as social computing. An important step in social computing is to decompose various 2-Mode networks in a community. On the basis that the actions of subject nodes and object nodes during social computing were analyzed and found to be different extended investigation was conducted on the 2-Mode network decomposition algorithm in this study, concluding with the proposition of several 2-Mode network decomposition algorithms.

Suggested Citation

  • Shuren Zhang & Yu Chen & Meiqi Fang, 2011. "Asymmetric 2-Mode Network in Social Computing and Decomposition Algorithm," Springer Books, in: Andrea Carugati & Cecilia Rossignoli (ed.), Emerging Themes in Information Systems and Organization Studies, pages 211-221, Springer.
    • Handle: RePEc:spr:sprchp:978-3-7908-2739-2_17
    DOI: 10.1007/978-3-7908-2739-2_17
    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:sprchp:978-3-7908-2739-2_17. 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.