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If equal to + '-' (dash), read the edge list from STDIN.</p></dd> +<dt class="flush">SHOW</dt><dd><p> If the second parameter is equal to <code>SHOW</code>, the program prints on + STDERR the hidden variable and actual degree of each node.</p></dd> +</dl> + + +<h2 id="EXAMPLES">EXAMPLES</h2> + +<p>Let us assume that we want to create a graph whose joint degree +distribution is equal to that of the graph contained in +<code>AS-20010316.net</code> (i.e., the graph of the Internet at the AS level in +March 2001). We can use the command:</p> + +<pre><code> $ hv_net AS-20010316.net > AS-20010316.net_rand +</code></pre> + +<p>which will sample a random graph with the same joint-degree +distribution and will save its edge list in the file +<code>AS-20010316.net_rand</code> (notice the STDOUT redirection operator +<code>></code>). Additionally, we can also save the values of the hidden +variables and actual degrees of the nodes by specifying <code>SHOW</code> as a +second parameter:</p> + +<pre><code> $ hv_net AS-20010316.net SHOW > AS-20010316.net_rand 2>AS-20010316.net_rand_hv +</code></pre> + +<p>In this case, the file <code>AS-20010316.net_rand_hv</code> will contain the +values of the hidden variable of each node and of the actual degree of +the node in the sampled graph, in the format:</p> + +<pre><code> h1 k1 + h2 k2 + .... +</code></pre> + +<h2 id="SEE-ALSO">SEE ALSO</h2> + +<p><a class="man-ref" href="conf_model_deg.1.html">conf_model_deg<span class="s">(1)</span></a>, <a class="man-ref" href="conf_model_deg_nocheck.1.html">conf_model_deg_nocheck<span class="s">(1)</span></a></p> + +<h2 id="REFERENCES">REFERENCES</h2> + +<ul> +<li><p>M. Boguna and R. Pastor-Satorras. "Class of correlated random +networks with hidden variables". Phys. Rev. E 68 (2003), 036112.</p></li> +<li><p>V. Latora, V. Nicosia, G. Russo, "Complex Networks: Principles, +Methods and Applications", Chapter 7, Cambridge University Press +(2017)</p></li> +<li><p>V. Latora, V. Nicosia, G. Russo, "Complex Networks: Principles, +Methods and Applications", Appendix 14, 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'>hv_net(1)</li> + </ol> + + </div> +</body> +</html> |