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<a href="#NAME">NAME</a>
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<a href="#SYNOPSIS">SYNOPSIS</a>
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<a href="#DESCRIPTION">DESCRIPTION</a>
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<a href="#PARAMETERS">PARAMETERS</a>
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<a href="#OUTPUT">OUTPUT</a>
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<a href="#EXAMPLES">EXAMPLES</a>
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<ol class='man-decor man-head man head'>
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<li class='tl'>clust(1)</li>
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<li class='tc'>www.complex-networks.net</li>
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<li class='tr'>clust(1)</li>
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</ol>
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<h2 id="NAME">NAME</h2>
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<p class="man-name">
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<code>clust</code> - <span class="man-whatis">Compute the graph and node clustering coefficients</span>
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</p>
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<h2 id="SYNOPSIS">SYNOPSIS</h2>
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<p><code>clust</code> <var>graph_in</var> [SHOW]</p>
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<h2 id="DESCRIPTION">DESCRIPTION</h2>
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<p><code>clust</code> computes the clustering coefficient of the undirected graph
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given as input in the file <var>graph_in</var>. If <code>SHOW</code> is provided as a
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second parameter, the program prints on STDERR the label, degree, and
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clustering coefficient of all the nodes in <var>graph_in</var>.</p>
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<h2 id="PARAMETERS">PARAMETERS</h2>
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<dl>
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<dt><var>graph_in</var></dt><dd><p> undirected input graph (edge list). If is equal to <code>-</code> (dash), read
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the edge list from STDIN.</p></dd>
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<dt class="flush">SHOW</dt><dd><p> If the second (optional) parameter is equal to <code>SHOW</code>, the program
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will dump on the standard error the label, degree, and clustering
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coefficient of each node in <var>graph_in</var>.</p></dd>
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</dl>
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<h2 id="OUTPUT">OUTPUT</h2>
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<p>If only <var>graph_in</var> is specified, then the output is a single line,
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containing the clustering coefficient of the undirected graph provided
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as input. If <code>SHOW</code> is specified, the program will print on the
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standard output one line for each node, in the format:</p>
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<pre><code>node_1 k_1 c_1
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node_2 k_2 c_2
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node_3 k_3 c_3
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....
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</code></pre>
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<p>where <code>node_1</code> is the label of the node, <code>k_1</code> is its degree, and
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<code>c_1</code> is its node clustering coefficient.</p>
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<h2 id="EXAMPLES">EXAMPLES</h2>
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<p>The most simple way of using <code>clust</code> is to compute only the clustering
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coefficient of a graph. For instance:</p>
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<pre><code> $ clust er_1000_5000.txt
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0.01034196
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$
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</code></pre>
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<p>will show on output the clustering coefficient of the graph
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<code>er_1000_5000.txt</code>. In order to obtain the clustering coefficient of
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all the nodes, we should use:</p>
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<pre><code> $ clust er_1000_5000.txt SHOW
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0 10 0.0222222
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1 3 0
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2 7 0
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3 5 0
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4 10 0
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5 17 0
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6 14 0
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7 8 0
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8 6 0
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9 11 0
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10 9 0
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11 10 0
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12 13 0.0128205
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....
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998 10 0.0222222
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999 9 0
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0.01034196
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$
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</code></pre>
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<p>The last line printed on output is still the value of the clustering
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coefficient of the graph, while the previous 1000 lines (which are
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printed on STDERR) contain the label, degree, and clustering
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coefficient of all the nodes. For instance, the first line indicates
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that node <code>0</code> has degree equal to <code>10</code> and clustering coefficient
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equal to <code>0.0222222</code>. It is more convenient to save the values of node
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clustering coefficients in a file, e.g.:</p>
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<pre><code> $ clust er_1000_5000.txt SHOW 2> er_1000_5000.txt_node_clust
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0.01034196
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$
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</code></pre>
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<p>In this case, the program prints on output only the graph clustering
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coefficient <code>0.01034196</code>, while the node clustering coefficients are
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saved on the file <code>er_1000_5000.txt_node_clust</code> (notice the syntax <code>2>
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er_1000_5000.txt_node_clust</code>, which redirects the STDERR to the file
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<code>er_1000_5000.txt_node_clust</code>).</p>
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<h2 id="SEE-ALSO">SEE ALSO</h2>
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<p><span class="man-ref">clust_w<span class="s">(1)</span></span></p>
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<h2 id="REFERENCES">REFERENCES</h2>
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<ul>
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<li>V. Latora, V. Nicosia, G. Russo, "Complex Networks: Principles,
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Methods and Applications", Chapter 4, Cambridge University Press
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(2017)</li>
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</ul>
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<h2 id="AUTHORS">AUTHORS</h2>
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<p>(c) Vincenzo 'KatolaZ' Nicosia 2009-2017 <code><v.nicosia@qmul.ac.uk></code>.</p>
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<ol class='man-decor man-foot man foot'>
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<li class='tl'>www.complex-networks.net</li>
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<li class='tc'>September 2017</li>
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<li class='tr'>clust(1)</li>
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</ol>
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