LUVAIN: Stata module to find communities in weighted graph

Nikos Askitas ()

Statistical Software Components from Boston College Department of Economics

Abstract: louvain wraps itself around the Python module "python-louvain" to find clusters in a weighted graph. It assumes you have loaded your network's weighted edges in stata in the form of three variables. So if you have string variables "snode" (the source node) and "tnode" (the target node) and some numerical variable "weight" then you feed the weighted edges by running: louvain snode tnode weight which creates a frame called "louvain" in which it saves two variables: one called "node" holding the unique values of snode and tnode combined and one called "cluster_1" indicating the cluster each node belongs to.

Language: Stata
Requires: Stata version 16
Keywords: network analysis; weighted graph; Python (search for similar items in EconPapers)
Date: 2020-03-08, Revised 2020-06-03
Note: This module should be installed from within Stata by typing "ssc install louvain". 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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http://fmwww.bc.edu/repec/bocode/l/louvain.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/l/louvain_gcd.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/l/louvain.sthlp help file (text/plain)

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