IDEAS home Printed from https://ideas.repec.org/p/mpr/mprres/ea29195d9a8248f293c74f0cd2746979.html
   My bibliography  Save this paper

Dynamic Network Prediction

Author

Listed:
  • Ravi Goyal
  • Victor De Gruttola

Abstract

The authors present a statistical framework for generating predicted dynamic networks based on the observed evolution of social relationships in a population.

Suggested Citation

  • Ravi Goyal & Victor De Gruttola, "undated". "Dynamic Network Prediction," Mathematica Policy Research Reports ea29195d9a8248f293c74f0cd, Mathematica Policy Research.
  • Handle: RePEc:mpr:mprres:ea29195d9a8248f293c74f0cd2746979
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/journals/network-science/article/abs/dynamic-network-prediction/1F6823D7C1E58EF8F83843BA0D380F40
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    dynamic network congruence ; class model ; prediction ; co-sponsorship network;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:mpr:mprres:ea29195d9a8248f293c74f0cd2746979. 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: Joanne Pfleiderer or Cindy George (email available below). General contact details of provider: https://edirc.repec.org/data/mathius.html .

    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.