IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s459113.html
 

NWASSORTATIVITY: Stata module to compute network assortativity coefficient

Author

Listed:
  • Charlie Joyez

    (Paris-Dauphine University)

Programming Language

Stata

Abstract

This routine computes the assortativity coefficient for networks following Newman, M. E. (2003). Mixing patterns in networks. Physical review E, 67(2), 026126.

Suggested Citation

  • Charlie Joyez, 2022. "NWASSORTATIVITY: Stata module to compute network assortativity coefficient," Statistical Software Components S459113, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s459113
    Note: This module should be installed from within Stata by typing "ssc install nwassortativity". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/n/nwassortativity.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/n/nwassortativity.sthlp
    File Function: help file
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    network; assortativity; Stata;
    All these keywords.

    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:boc:bocode:s459113. 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: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/debocus.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.