1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
|
<!DOCTYPE html>
<html>
<head>
<meta http-equiv='content-type' value='text/html;charset=utf8'>
<meta name='generator' value='Ronn/v0.7.3 (http://github.com/rtomayko/ronn/tree/0.7.3)'>
<title>clust(1) - Compute the graph and node clustering coefficients</title>
<style type='text/css' media='all'>
/* style: man */
body#manpage {margin:0}
.mp {max-width:100ex;padding:0 9ex 1ex 4ex}
.mp p,.mp pre,.mp ul,.mp ol,.mp dl {margin:0 0 20px 0}
.mp h2 {margin:10px 0 0 0}
.mp > p,.mp > pre,.mp > ul,.mp > ol,.mp > dl {margin-left:8ex}
.mp h3 {margin:0 0 0 4ex}
.mp dt {margin:0;clear:left}
.mp dt.flush {float:left;width:8ex}
.mp dd {margin:0 0 0 9ex}
.mp h1,.mp h2,.mp h3,.mp h4 {clear:left}
.mp pre {margin-bottom:20px}
.mp pre+h2,.mp pre+h3 {margin-top:22px}
.mp h2+pre,.mp h3+pre {margin-top:5px}
.mp img {display:block;margin:auto}
.mp h1.man-title {display:none}
.mp,.mp code,.mp pre,.mp tt,.mp kbd,.mp samp,.mp h3,.mp h4 {font-family:monospace;font-size:14px;line-height:1.42857142857143}
.mp h2 {font-size:16px;line-height:1.25}
.mp h1 {font-size:20px;line-height:2}
.mp {text-align:justify;background:#fff}
.mp,.mp code,.mp pre,.mp pre code,.mp tt,.mp kbd,.mp samp {color:#131211}
.mp h1,.mp h2,.mp h3,.mp h4 {color:#030201}
.mp u {text-decoration:underline}
.mp code,.mp strong,.mp b {font-weight:bold;color:#131211}
.mp em,.mp var {font-style:italic;color:#232221;text-decoration:none}
.mp a,.mp a:link,.mp a:hover,.mp a code,.mp a pre,.mp a tt,.mp a kbd,.mp a samp {color:#0000ff}
.mp b.man-ref {font-weight:normal;color:#434241}
.mp pre {padding:0 4ex}
.mp pre code {font-weight:normal;color:#434241}
.mp h2+pre,h3+pre {padding-left:0}
ol.man-decor,ol.man-decor li {margin:3px 0 10px 0;padding:0;float:left;width:33%;list-style-type:none;text-transform:uppercase;color:#999;letter-spacing:1px}
ol.man-decor {width:100%}
ol.man-decor li.tl {text-align:left}
ol.man-decor li.tc {text-align:center;letter-spacing:4px}
ol.man-decor li.tr {text-align:right;float:right}
</style>
<style type='text/css' media='all'>
/* style: toc */
.man-navigation {display:block !important;position:fixed;top:0;left:113ex;height:100%;width:100%;padding:48px 0 0 0;border-left:1px solid #dbdbdb;background:#eee}
.man-navigation a,.man-navigation a:hover,.man-navigation a:link,.man-navigation a:visited {display:block;margin:0;padding:5px 2px 5px 30px;color:#999;text-decoration:none}
.man-navigation a:hover {color:#111;text-decoration:underline}
</style>
</head>
<!--
The following styles are deprecated and will be removed at some point:
div#man, div#man ol.man, div#man ol.head, div#man ol.man.
The .man-page, .man-decor, .man-head, .man-foot, .man-title, and
.man-navigation should be used instead.
-->
<body id='manpage'>
<div class='mp' id='man'>
<div class='man-navigation' style='display:none'>
<a href="#NAME">NAME</a>
<a href="#SYNOPSIS">SYNOPSIS</a>
<a href="#DESCRIPTION">DESCRIPTION</a>
<a href="#PARAMETERS">PARAMETERS</a>
<a href="#OUTPUT">OUTPUT</a>
<a href="#EXAMPLES">EXAMPLES</a>
<a href="#SEE-ALSO">SEE ALSO</a>
<a href="#REFERENCES">REFERENCES</a>
<a href="#AUTHORS">AUTHORS</a>
</div>
<ol class='man-decor man-head man head'>
<li class='tl'>clust(1)</li>
<li class='tc'>www.complex-networks.net</li>
<li class='tr'>clust(1)</li>
</ol>
<h2 id="NAME">NAME</h2>
<p class="man-name">
<code>clust</code> - <span class="man-whatis">Compute the graph and node clustering coefficients</span>
</p>
<h2 id="SYNOPSIS">SYNOPSIS</h2>
<p><code>clust</code> <var>graph_in</var> [SHOW]</p>
<h2 id="DESCRIPTION">DESCRIPTION</h2>
<p><code>clust</code> computes the clustering coefficient of the undirected graph
given as input in the file <var>graph_in</var>. If <code>SHOW</code> is provided as a
second parameter, the program prints on STDERR the label, degree, and
clustering coefficient of all the nodes in <var>graph_in</var>.</p>
<h2 id="PARAMETERS">PARAMETERS</h2>
<dl>
<dt><var>graph_in</var></dt><dd><p> undirected input graph (edge list). If is equal to <code>-</code> (dash), read
the edge list from STDIN.</p></dd>
<dt class="flush">SHOW</dt><dd><p> If the second (optional) parameter is equal to <code>SHOW</code>, the program
will dump on the standard error the label, degree, and clustering
coefficient of each node in <var>graph_in</var>.</p></dd>
</dl>
<h2 id="OUTPUT">OUTPUT</h2>
<p>If only <var>graph_in</var> is specified, then the output is a single line,
containing the clustering coefficient of the undirected graph provided
as input. If <code>SHOW</code> is specified, the program will print on the
standard output one line for each node, in the format:</p>
<pre><code>node_1 k_1 c_1
node_2 k_2 c_2
node_3 k_3 c_3
....
</code></pre>
<p>where <code>node_1</code> is the label of the node, <code>k_1</code> is its degree, and
<code>c_1</code> is its node clustering coefficient.</p>
<h2 id="EXAMPLES">EXAMPLES</h2>
<p>The most simple way of using <code>clust</code> is to compute only the clustering
coefficient of a graph. For instance:</p>
<pre><code> $ clust er_1000_5000.txt
0.01034196
$
</code></pre>
<p>will show on output the clustering coefficient of the graph
<code>er_1000_5000.txt</code>. In order to obtain the clustering coefficient of
all the nodes, we should use:</p>
<pre><code> $ clust er_1000_5000.txt SHOW
0 10 0.0222222
1 3 0
2 7 0
3 5 0
4 10 0
5 17 0
6 14 0
7 8 0
8 6 0
9 11 0
10 9 0
11 10 0
12 13 0.0128205
....
998 10 0.0222222
999 9 0
0.01034196
$
</code></pre>
<p>The last line printed on output is still the value of the clustering
coefficient of the graph, while the previous 1000 lines (which are
printed on STDERR) contain the label, degree, and clustering
coefficient of all the nodes. For instance, the first line indicates
that node <code>0</code> has degree equal to <code>10</code> and clustering coefficient
equal to <code>0.0222222</code>. It is more convenient to save the values of node
clustering coefficients in a file, e.g.:</p>
<pre><code> $ clust er_1000_5000.txt SHOW 2> er_1000_5000.txt_node_clust
0.01034196
$
</code></pre>
<p>In this case, the program prints on output only the graph clustering
coefficient <code>0.01034196</code>, while the node clustering coefficients are
saved on the file <code>er_1000_5000.txt_node_clust</code> (notice the syntax <code>2>
er_1000_5000.txt_node_clust</code>, which redirects the STDERR to the file
<code>er_1000_5000.txt_node_clust</code>).</p>
<h2 id="SEE-ALSO">SEE ALSO</h2>
<p><a class="man-ref" href="clust_w.1.html">clust_w<span class="s">(1)</span></a></p>
<h2 id="REFERENCES">REFERENCES</h2>
<ul>
<li>V. Latora, V. Nicosia, G. Russo, "Complex Networks: Principles,
Methods and Applications", Chapter 4, Cambridge University Press
(2017)</li>
</ul>
<h2 id="AUTHORS">AUTHORS</h2>
<p>(c) Vincenzo 'KatolaZ' Nicosia 2009-2017 <code><v.nicosia@qmul.ac.uk></code>.</p>
<ol class='man-decor man-foot man foot'>
<li class='tl'>www.complex-networks.net</li>
<li class='tc'>September 2017</li>
<li class='tr'>clust(1)</li>
</ol>
</div>
</body>
</html>
|
