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<title>er_B(1) - Sample a random graph from the Erdos-Renyi model B</title>
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<a href="#NAME">NAME</a>
<a href="#SYNOPSIS">SYNOPSIS</a>
<a href="#DESCRIPTION">DESCRIPTION</a>
<a href="#PARAMETERS">PARAMETERS</a>
<a href="#EXAMPLES">EXAMPLES</a>
<a href="#SEE-ALSO">SEE ALSO</a>
<a href="#REFERENCES">REFERENCES</a>
<a href="#AUTHORS">AUTHORS</a>
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<ol class='man-decor man-head man head'>
<li class='tl'>er_B(1)</li>
<li class='tc'>www.complex-networks.net</li>
<li class='tr'>er_B(1)</li>
</ol>
<h2 id="NAME">NAME</h2>
<p class="man-name">
<code>er_B</code> - <span class="man-whatis">Sample a random graph from the Erdos-Renyi model B</span>
</p>
<h2 id="SYNOPSIS">SYNOPSIS</h2>
<p><code>er_B</code> <var>N</var> <em>p</em> [<var>fileout</var>]</p>
<h2 id="DESCRIPTION">DESCRIPTION</h2>
<p><code>er_B</code> samples a random graph from the Erdos-Renyi model B, i.e. a
graph with <var>N</var> nodes where each of the <N(N-1)/2> edges is created
independently with probability <em>p</em>. The program dumps the edge list of
the resulting graph on output. If the optional <var>fileout</var> is provided,
the output is written on a file with that name.</p>
<h2 id="PARAMETERS">PARAMETERS</h2>
<dl>
<dt class="flush"><var>N</var></dt><dd><p> Number of nodes in the final graph.</p></dd>
<dt class="flush"><em>p</em></dt><dd><p> Edge probability.</p></dd>
<dt class="flush"><var>fileout</var></dt><dd><p> The (optional) name of the filename where the edge list of the
graph will be saved.</p></dd>
</dl>
<h2 id="EXAMPLES">EXAMPLES</h2>
<p>The following command:</p>
<pre><code> $ er_B 1000 0.006
</code></pre>
<p>samples an undirected random network with <var>N=1000</var> nodes where each
possible edge is created with probability <em>p=0.006</em>. The output of
the command <code>er_B</code> will be the edge-list of the resulting graph, where
each (undirected) edge is reported only once. In order to be useful,
such edge-list should be saved into a file. The following command:</p>
<pre><code> $ er_B 1000 0.006 > er_B_1000_0.006.net
</code></pre>
<p>will save the resulting graph in the file
er_B_1000_0.006.net. Notice the usage of the symbol ">" to
redirect the output of the program to a file.</p>
<h2 id="SEE-ALSO">SEE ALSO</h2>
<p><a class="man-ref" href="er_A.1.html">er_A<span class="s">(1)</span></a>, <a class="man-ref" href="ws.1.html">ws<span class="s">(1)</span></a></p>
<h2 id="REFERENCES">REFERENCES</h2>
<ul>
<li><p>P. Erdos, & A. Rényi, "On Random Graphs I", Publ. Math. Debrecen, 6,
290 (1959)</p></li>
<li><p>P.Erdos, & A. Renyi, "On the evolution of random graphs"
Publ. Math. Inst. Hungary. Acad. Sci., 5, 17-61 (1960)</p></li>
<li><p>V. Latora, V. Nicosia, G. Russo, "Complex Networks: Principles,
Methods and Applications", Chapter 3, Cambridge University Press
(2017)</p></li>
<li><p>V. Latora, V. Nicosia, G. Russo, "Complex Networks: Principles,
Methods and Applications", Appendix 10, Cambridge University Press
(2017)</p></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'>er_B(1)</li>
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