First commit on github -- NetBunch 1.0

author: KatolaZ <katolaz@freaknet.org> 2017-09-27 15:06:31 +0100
committer: KatolaZ <katolaz@freaknet.org> 2017-09-27 15:06:31 +0100
commit: 3aee2fd43e3059a699af2b63c6f2395e5a55e515 (patch)
tree: 58c95505a0906ed9cfa694f9dbd319403fd8f01d /doc/bb_fitness.1.html
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+  <title>bb_fitness(1) - Grow a random graph with the fitness model</title>
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+  .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'>bb_fitness(1)</li>
+    <li class='tc'>www.complex-networks.net</li>
+    <li class='tr'>bb_fitness(1)</li>
+  </ol>
+
+  <h2 id="NAME">NAME</h2>
+<p class="man-name">
+  <code>bb_fitness</code> - <span class="man-whatis">Grow a random graph with the fitness model</span>
+</p>
+
+<h2 id="SYNOPSIS">SYNOPSIS</h2>
+
+<p><code>bb_fitness</code> <var>N</var> <var>m</var> <var>n0</var> [SHOW]</p>
+
+<h2 id="DESCRIPTION">DESCRIPTION</h2>
+
+<p><code>bb_fitness</code> grows an undirected random scale-free graph with <var>N</var>
+nodes using the fitness model proposed by Bianconi and Barabasi. The
+initial network is a clique of <var>n0</var> nodes, and each new node creates
+<var>m</var> new edges. The probability that a new node create an edge to node
+<code>j</code> is proportional to</p>
+
+<pre><code>    a_j * k_j
+</code></pre>
+
+<p>where <code>a_j</code> is the attractiveness (fitness) of node <code>j</code>. The values of
+node attractiveness are sampled uniformly in the interval [0,1].</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>
+<dt class="flush">SHOW</dt><dd><p>  If the fourth parameter is equal to <code>SHOW</code>, the values of node
+  attractiveness are printed on STDERR.</p></dd>
+</dl>
+
+
+<h2 id="OUTPUT">OUTPUT</h2>
+
+<p><code>bb_fitness</code> prints on STDOUT the edge list of the final graph.</p>
+
+<h2 id="EXAMPLES">EXAMPLES</h2>
+
+<p>The following command:</p>
+
+<pre><code>    $ bb_fitness 10000 3 4 &gt; bb_fitness_10000_3_4.txt
+</code></pre>
+
+<p>uses the fitness model to create a random 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 resulting
+graph is saved in the file <code>bb_fitness_10000_3_4.txt</code> (notice the
+redirection operator <code>&gt;</code>). The command:</p>
+
+<pre><code>    $ bb_fitness 10000 3 4 SHOW &gt; bb_fitness_10000_3_4.txt 2&gt; bb_fitness_10000_3_4.txt_fitness
+</code></pre>
+
+<p>will do the same as above, but it will additionally save the values of
+node fitness in the file <code>bb_fitness_10000_3_4.txt_fitness</code> (notice
+the redirection operator <code>2&gt;</code>, that redirects the STDERR to the
+specified file).</p>
+
+<h2 id="SEE-ALSO">SEE ALSO</h2>
+
+<p><a class="man-ref" href="ba.1.html">ba<span class="s">(1)</span></a>, <a class="man-ref" href="dms.1.html">dms<span class="s">(1)</span></a></p>
+
+<h2 id="REFERENCES">REFERENCES</h2>
+
+<ul>
+<li><p>G. Bianconi, A.-L. Barabasi, " Competition and multiscaling in
+evolving networks". EPL-Europhys. Lett. 54 (2001), 436.</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'>bb_fitness(1)</li>
+  </ol>
+
+  </div>
+</body>
+</html>
author	KatolaZ <katolaz@freaknet.org>	2017-09-27 15:06:31 +0100
committer	KatolaZ <katolaz@freaknet.org>	2017-09-27 15:06:31 +0100
commit	3aee2fd43e3059a699af2b63c6f2395e5a55e515 (patch)
tree	58c95505a0906ed9cfa694f9dbd319403fd8f01d /doc/bb_fitness.1.html