NW_WCC: Stata module to calculate Weighted Clustering Coefficients (WCC) in Complex Direct Networks
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.
|Requires:||Stata version 9 and nwcommands from http://www.nwcommands.org|
|Date of creation:||17 Feb 2017|
|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.|
|Contact details of provider:|| Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA|
Web page: http://fmwww.bc.edu/EC/
More information through EDIRC
|Order Information:||Web: http://repec.org/docs/ssc.php|
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)
If references are entirely missing, you can add them using this form.