IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v58y2007i12d10.1057_palgrave.jors.2602352.html
   My bibliography  Save this article

Social network topology: a Bayesian approach

Author

Listed:
  • C J Rhodes

    (Imperial College London)

  • E M J Keefe

    (Policy and Capability Studies Department)

Abstract

Elucidating the pattern of links within social networks is a challenging problem. Of particular difficulty is determining the existence of links in those groups that take active measures to conceal their internal connections, such as terrorist or criminal organizations where conventional social network analysis data-gathering techniques cannot be applied. Network representations of such organizations are useful, because they often represent a useful point of departure in thinking both about the potential capabilities of organizations and how to conduct effective measures to counter them. Developing an effective process for constructing such network representations from incomplete and limited data of variable quality is a topic of much current interest. Here, a method based on Bayesian inference is presented that probabilistically infers the existence of links within a social network. It is tested on data from open source publications. Additionally, the method represents a possible approach to dynamically modelling networks, as it is feasible to calculate how a network will reconfigure following an intervention.

Suggested Citation

  • C J Rhodes & E M J Keefe, 2007. "Social network topology: a Bayesian approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(12), pages 1605-1611, December.
    • Handle: RePEc:pal:jorsoc:v:58:y:2007:i:12:d:10.1057_palgrave.jors.2602352
    DOI: 10.1057/palgrave.jors.2602352
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/palgrave.jors.2602352
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/palgrave.jors.2602352?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 search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. P G Hancock & R Raeside, 2010. "Analysing communication in a complex service process: an application of social network analysis in the Scottish Prison Service," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(2), pages 265-274, February.
    2. C J Rhodes & P Jones, 2009. "Inferring missing links in partially observed social networks," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(10), pages 1373-1383, October.

    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:pal:jorsoc:v:58:y:2007:i:12:d:10.1057_palgrave.jors.2602352. 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.palgrave-journals.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.