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authorKatolaZ <katolaz@freaknet.org>2017-09-27 15:06:31 +0100
committerKatolaZ <katolaz@freaknet.org>2017-09-27 15:06:31 +0100
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+ <title>ba(1) - Grow a Barabasi-Albert scale-free random graph</title>
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+<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'>ba(1)</li>
+ <li class='tc'>www.complex-networks.net</li>
+ <li class='tr'>ba(1)</li>
+ </ol>
+
+ <h2 id="NAME">NAME</h2>
+<p class="man-name">
+ <code>ba</code> - <span class="man-whatis">Grow a Barabasi-Albert scale-free random graph</span>
+</p>
+
+<h2 id="SYNOPSIS">SYNOPSIS</h2>
+
+<p><code>ba</code> <var>N</var> <var>m</var> <var>n0</var></p>
+
+<h2 id="DESCRIPTION">DESCRIPTION</h2>
+
+<p><code>ba</code> grows an undirected random scale-free graph with <var>N</var> nodes using
+the linear preferential attachment model proposed by Barabasi and
+Albert. The initial network is a ring of <var>n0</var> nodes, and each new node
+creates <var>m</var> new edges. The resulting graph will have a scale-free
+degree distribution, whose exponent converges to <code>gamma=3.0</code> for large
+<var>N</var>.</p>
+
+<h2 id="PARAMETERS">PARAMETERS</h2>
+
+<dl>
+<dt class="flush"><var>N</var></dt><dd><p> Number of nodes of the final graph.</p></dd>
+<dt class="flush"><var>m</var></dt><dd><p> Number of edges created by each new node.</p></dd>
+<dt class="flush"><var>n0</var></dt><dd><p> Number of nodes in the initial (seed) graph.</p></dd>
+</dl>
+
+
+<h2 id="OUTPUT">OUTPUT</h2>
+
+<p><code>ba</code> prints on STDOUT the edge list of the final graph.</p>
+
+<h2 id="EXAMPLES">EXAMPLES</h2>
+
+<p>The following command:</p>
+
+<pre><code> $ ba 10000 3 5 &gt; ba_10000_3_5.txt
+</code></pre>
+
+<p>creates a Barabasi-Albert scale-free graph with <var>N=10000</var> nodes, where
+each new node creates <var>m=3</var> new edges and the initial seed network is
+a ring of <var>n0=5</var> nodes. The edge list of the graph is saved in the
+file <code>ba_10000_3_5.txt</code> (thanks to the redirection operator <code>&gt;</code>).</p>
+
+<h2 id="SEE-ALSO">SEE ALSO</h2>
+
+<p><a class="man-ref" href="bb_fitness.1.html">bb_fitness<span class="s">(1)</span></a>, <a class="man-ref" href="dms.1.html">dms<span class="s">(1)</span></a>, <a class="man-ref" href="bbv.1.html">bbv<span class="s">(1)</span></a></p>
+
+<h2 id="REFERENCES">REFERENCES</h2>
+
+<ul>
+<li><p>A.-L. Barabasi, R. Albert, "Emergence of scaling in random
+networks", Science 286, 509-512 (1999).</p></li>
+<li><p>V. Latora, V. Nicosia, G. Russo, "Complex Networks: Principles,
+Methods and Applications", Chapter 6, Cambridge University Press
+(2017)</p></li>
+<li><p>V. Latora, V. Nicosia, G. Russo, "Complex Networks: Principles,
+Methods and Applications", Appendix 13, Cambridge University Press
+(2017)</p></li>
+</ul>
+
+
+<h2 id="AUTHORS">AUTHORS</h2>
+
+<p>(c) Vincenzo 'KatolaZ' Nicosia 2009-2017 <code>&lt;v.nicosia@qmul.ac.uk&gt;</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'>ba(1)</li>
+ </ol>
+
+ </div>
+</body>
+</html>