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+  <title>shortest_avg_max_hist(1) - Compute the distance between one node and all the other nodes of a 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'>shortest_avg_max_hist(1)</li>
+    <li class='tc'>www.complex-networks.net</li>
+    <li class='tr'>shortest_avg_max_hist(1)</li>
+  </ol>
+
+  <h2 id="NAME">NAME</h2>
+<p class="man-name">
+  <code>shortest_avg_max_hist</code> - <span class="man-whatis">Compute the distance between one node and all the other nodes of a graph</span>
+</p>
+
+<h2 id="SYNOPSIS">SYNOPSIS</h2>
+
+<p><code>shortest_avg_max_hist</code> <var>graph_in</var> <var>node</var></p>
+
+<h2 id="DESCRIPTION">DESCRIPTION</h2>
+
+<p><code>shortest_avg_max_hist</code> computes the distance (and the shortest paths)
+between a given node and all the other nodes of an undirected graph
+provided as input. The program implements the Breadth-First Search
+algorithm, and works almost exactly as <a href="shortest.1.html">shortest(1)</a>, except for the
+output.</p>
+
+<h2 id="PARAMETERS">PARAMETERS</h2>
+
+<dl>
+<dt><var>graph_in</var></dt><dd><p>  input graph (edge list) if equal to <code>-</code> (dash), read the edge list
+  from STDIN.</p></dd>
+<dt class="flush"><var>node</var></dt><dd><p>  The label of the node from which distances are to be computed</p></dd>
+</dl>
+
+
+<h2 id="OUTPUT">OUTPUT</h2>
+
+<p>The output</p>
+
+<h2 id="EXAMPLES">EXAMPLES</h2>
+
+<p>The following command:</p>
+
+<pre><code>      $ shortest_avg_max_hist er_1000_5000.net 25 
+      3.2002 4 11 111 544 333
+      $
+</code></pre>
+
+<p>is showing the average distance between node <code>25</code> and all the other
+nodes in the graph (<code>3.2002</code>), the eccentricity of node <code>25</code> (equal to
+<code>4</code>), and the number of nodes at distance <code>1</code> (11), <code>2</code> (111), <code>3</code>
+(544) and <code>4</code> (333) from node <code>25</code>.</p>
+
+<h2 id="SEE-ALSO">SEE ALSO</h2>
+
+<p><a class="man-ref" href="shortest.1.html">shortest<span class="s">(1)</span></a>, <a class="man-ref" href="betweenness.1.html">betweenness<span class="s">(1)</span></a>, <a class="man-ref" href="bet_dependency.1.html">bet_dependency<span class="s">(1)</span></a></p>
+
+<h2 id="REFERENCES">REFERENCES</h2>
+
+<ul>
+<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 6, 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'>shortest_avg_max_hist(1)</li>
+  </ol>
+
+  </div>
+</body>
+</html>