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

Author

Listed:
  • Charlie Joyez

    () (Paris-Dauphine University)

Abstract

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.
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    File URL: http://fmwww.bc.edu/repec/bocode/n/nw_wcc.ado
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    File URL: http://fmwww.bc.edu/repec/bocode/n/nw_wcc.sthlp
    File Function: help file
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