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+ <h5 class="subsubsectionHead"><a
+ id="x44-430002.1.1"></a><span
+class="cmtt-10x-x-109">model</span><span
+class="cmtt-10x-x-109">_MDM.py</span></h5>
+<!--l. 3--><p class="noindent" ><span
+class="cmbx-10x-x-109">NAME</span>
+<!--l. 3--><p class="indent" > <span
+class="cmbx-10x-x-109">model</span><span
+class="cmbx-10x-x-109">_MDM.py </span>- Multi-activity Deterministic Model.
+<!--l. 3--><p class="noindent" ><span
+class="cmbx-10x-x-109">SYNOPSYS</span>
+<!--l. 3--><p class="indent" > <span
+class="cmbx-10x-x-109">model</span><span
+class="cmbx-10x-x-109">_MDM.py </span><span
+class="cmmi-10x-x-109">&#x003C;</span><span
+class="cmitt-10x-x-109">Bi</span><span
+class="cmitt-10x-x-109">_file</span><span
+class="cmmi-10x-x-109">&#x003E; &#x003C;</span><span
+class="cmitt-10x-x-109">M</span><span
+class="cmmi-10x-x-109">&#x003E;</span>
+<!--l. 23--><p class="noindent" ><span
+class="cmbx-10x-x-109">DESCRIPTION</span>
+<!--l. 23--><p class="indent" > This is the Multi-activity Deterministic Model (MDM). In this model each
+node <span
+class="cmmi-10x-x-109">i </span>is considered active if it was active in the reference multiplex, maintains
+the same value of node activity <span
+class="cmmi-10x-x-109">B</span><sub><span
+class="cmmi-8">i</span></sub> (i.e., the number of layers in which it was
+active) and is associated an activity vector sampled uniformly at random from
+the <span
+class="cmex-10x-x-109">(</span><span
+class="cmmi-8">M</span>
+ <span
+class="cmmi-8">B</span><sub><span
+class="cmmi-6">i</span></sub><span
+class="cmex-10x-x-109">)</span>
+ possible activity vectors with <span
+class="cmmi-10x-x-109">B</span><sub><span
+class="cmmi-8">i</span></sub> non-null entries.
+<!--l. 23--><p class="indent" > The file <span
+class="cmti-10x-x-109">Bi</span><span
+class="cmti-10x-x-109">_file </span>is in the format:
+<!--l. 23--><p class="indent" > &#x00A0; <span
+class="cmti-10x-x-109">Bi N(Bi)</span>
+<!--l. 23--><p class="indent" > where <span
+class="cmti-10x-x-109">Bi </span>is a value of node activity and <span
+class="cmti-10x-x-109">N(Bi) </span>is the number of nodes which
+had node activity equaly to <span
+class="cmti-10x-x-109">Bi </span>in the reference multiplex.
+<!--l. 23--><p class="indent" > The parameter <span
+class="cmti-10x-x-109">M </span>is the number of layers in the multiplex.
+<!--l. 34--><p class="noindent" ><span
+class="cmbx-10x-x-109">OUTPUT</span>
+<!--l. 34--><p class="indent" > The program prints on <span
+class="cmtt-10x-x-109">stdout </span>a distribution of bit-strings, in the
+format:
+<!--l. 34--><p class="indent" > &#x00A0; <span
+class="cmti-10x-x-109">Bi bitstring count</span>
+<!--l. 34--><p class="indent" > where <span
+class="cmti-10x-x-109">bitstring </span>is the activity bitstring, <span
+class="cmti-10x-x-109">Bi </span>is the number of non-zero entries
+of <span
+class="cmti-10x-x-109">bitstring </span>and <span
+class="cmti-10x-x-109">count </span>is the number of times that <span
+class="cmti-10x-x-109">bitstrings </span>appear in the null
+model.
+<!--l. 37--><p class="noindent" ><span
+class="cmbx-10x-x-109">REFERENCE</span>
+<!--l. 37--><p class="indent" > V. Nicosia, V. Latora, &#8220;Measuring and modeling correlations in multiplex
+networks&#8221;, <span
+class="cmti-10x-x-109">Phys. Rev. E </span><span
+class="cmbx-10x-x-109">92</span>, 032805 (2015).
+<!--l. 37--><p class="indent" > Link to paper: <a
+href="http://journals.aps.org/pre/abstract/10.1103/PhysRevE.92.032805" class="url" ><span
+class="cmtt-10x-x-109">http://journals.aps.org/pre/abstract/10.1103/PhysRevE.92.032805</span></a>
+
+
+
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