IDEAS home Printed from

NW_WCC: Stata module to calculate Weighted Clustering Coefficients (WCC) in Complex Direct Networks


  • Charlie Joyez

    () (Paris-Dauphine University)


nw_wcc calculates the clustering coefficient of each node i among a network, following the pattern indicated in option and saves the result as a Stata variable specific to the pattern and the binary or weighted dimension. At least one pattern should be indicated, if not, the pattern all is the default. By default, weights are not normalized as in Fagiolo, Phys. Rev. E (2007), because they are assumed to be in the range [0,1]. Without the normalized option, the clustering coefficients are not scale invariant. The normalize option rescale all weights into a [0;1] range, and makes the clustering coefficient scale invariant. The default normalization procedure (also accessible by typing normalized(max)) divides all weights (w) by max(w) (See discussion in Saramaki et al. (2007)). Option normalize(sum) normalizes (w) by Sum(w), where Sum(w) is the sum of all the network weights.

Suggested Citation

  • Charlie Joyez, 2017. "NW_WCC: Stata module to calculate Weighted Clustering Coefficients (WCC) in Complex Direct Networks," Statistical Software Components S458305, Boston College Department of Economics.
  • Handle: RePEc:boc:bocode:s458305
    Note: This module should be installed from within Stata by typing "ssc install nw_wcc". Windows users should not attempt to download these files with a web browser.

    Download full text from publisher

    File URL:
    File Function: program code
    Download Restriction: no

    File URL:
    File Function: help file
    Download Restriction: no


    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:s458305. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.