From 3aee2fd43e3059a699af2b63c6f2395e5a55e515 Mon Sep 17 00:00:00 2001
From: KatolaZ <katolaz@freaknet.org>
Date: Wed, 27 Sep 2017 15:06:31 +0100
Subject: First commit on github -- NetBunch 1.0

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+clust_w(1) -- Compute the graph and node clustering of weighted graphs
+======
+
+## SYNOPSIS
+
+`clust_w` <graph_in> [SHOW]
+
+## DESCRIPTION
+
+`clust_w` computes the clustering coefficient of the undirected and
+weighted graph given as input in the file <graph_in>. The program uses
+the definition of weighted clustering proposed by Barrat, Barthelemy,
+Pastor-Satorras ans Vespignani.  If `SHOW` is provided as a second
+parameter, the program prints on STDERR the label, degree, and
+clustering coefficient of all the nodes in <graph_in>.
+
+## PARAMETERS
+
+* <graph_in>:
+    undirected and weighted input graph (edge list). If it is equal to 
+    `-` (dash), read the edge list from STDIN.
+
+* SHOW: 
+    If the second (optional) parameter is equal to `SHOW`, the program
+    will dump on the standard error the label, degree, and clustering 
+    coefficient of each node in <graph_in>.
+
+## OUTPUT
+
+If only <graph_in> is specified, then the output is a single line,
+containing the clustering coefficient of the undirected and weighted
+graph provided as input. If `SHOW` is specified, the program will
+print on the standard output one line for each node, in the format:
+
+    node_1 k_1 c_1
+    node_2 k_2 c_2
+    node_3 k_3 c_3
+     ....
+    
+where `node_1` is the label of the node, `k_1` is its degree, and
+`c_1` is its node clustering coefficient. 
+
+## EXAMPLES
+
+The most simple way of using `clust` is to compute only the clustering
+coefficient of a graph. For instance, the command:
+
+          $ clust_w US_airports.net
+          0.01034196
+          $
+
+computes the weighted clustering coefficient of the graph
+`US_airports.net` (the US air transportation network). In order to
+obtain the weighted clustering coefficient of all the nodes, we should
+use:
+
+          $ clust_w US_airports.net SHOW 
+          0 145 0.30493676524961
+          1 136 0.364315549333
+          2 132 0.3443612411812
+          3 76 0.52204673222936
+          ....
+          497 2 1
+          498 2 1
+          499 1 0
+          0.65111741
+          $
+
+The last line printed on output is still the value of the weighted
+clustering coefficient of the graph, while the previous 500 lines
+(which are printed on STDERR) contain the label, degree, and weighted
+clustering coefficient of each node. For instance, the first line
+indicates that node `0` has degree equal to `145` and clustering
+coefficient equal to `0.30493676524961`. It is more convenient to save
+the values of node clustering coefficients in a file, e.g.:
+
+          $ clust_w US_airports.net SHOW 2> node_clust_w
+          0.65111741
+          $
+
+In this case, the program prints on output only the weighted graph
+clustering coefficient `0.65111741`, while the node clustering
+coefficients are saved on the file `node_clust_w` (notice the syntax
+`2> node_clust_w`, which redirects the STDERR to the file
+`node_clust_w`).
+
+## SEE ALSO
+
+clust(1)
+
+## REFERENCES
+
+* V\. Latora, V. Nicosia, G. Russo, "Complex Networks: Principles,
+  Methods and Applications", Chapter 10, Cambridge University Press
+  (2017)
+
+
+## AUTHORS
+
+(c) Vincenzo 'KatolaZ' Nicosia 2009-2017 `<v.nicosia@qmul.ac.uk>`.
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