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

Charlie Joyez

Statistical Software Components from Boston College Department of Economics

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.

Language: Stata
Requires: Stata version 9 and nwcommands from http://www.nwcommands.org
Keywords: network; weighted clustering; complex direct networks (search for similar items in EconPapers)
Date: 2017-02-17
Note: This module should be installed from within Stata by typing "ssc install nw_wcc". 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.
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Citations: View citations in EconPapers (1)

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/n/nw_wcc.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/n/nw_wcc.sthlp help file (text/plain)

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