IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-34910-2_93.html
   My bibliography  Save this book chapter

Discrete Core/Periphery Structure Characters of C2 Organizations Analysis Based on SNA

In: 2012 International Conference on Information Technology and Management Science(ICITMS 2012) Proceedings

Author

Listed:
  • Shuchun Chang

    (Bengbu Automobile NCO Academy Transportation Command Department)

  • Qiyi Zhang

    (Bengbu Automobile NCO Academy Transportation Command Department)

Abstract

The Command and Control Relationship Network Models are constructed. The structure characters of these models are analyzed using “discrete core/periphery model” in Social Network Analysis. The core/periphery structure characters of actual models can be quantitatively analyzed by calculating the relevancy degree between actual models and ideal models. It can be seen from research, if C2 organizations have clear core/periphery structure characters, the results analyzed with discrete model are relative ideal.

Suggested Citation

  • Shuchun Chang & Qiyi Zhang, 2013. "Discrete Core/Periphery Structure Characters of C2 Organizations Analysis Based on SNA," Springer Books, in: Bing Xu (ed.), 2012 International Conference on Information Technology and Management Science(ICITMS 2012) Proceedings, edition 127, pages 813-821, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-34910-2_93
    DOI: 10.1007/978-3-642-34910-2_93
    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.

    More about this item

    Keywords

    Social network analysis; C2 organization; Core/periphery structure character;
    All these keywords.

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables

    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:spr:sprchp:978-3-642-34910-2_93. 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.