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98 lines
4.8 KiB
98 lines
4.8 KiB
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<h5 class="subsubsectionHead"><a
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id="x44-430002.1.1"></a><span
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class="cmtt-10x-x-109">model</span><span
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class="cmtt-10x-x-109">_hypergeometric.py</span></h5>
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<!--l. 3--><p class="noindent" ><span
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class="cmbx-10x-x-109">NAME</span>
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<!--l. 3--><p class="indent" > <span
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class="cmbx-10x-x-109">model</span><span
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class="cmbx-10x-x-109">_hypergeometric.py </span>- Hypergeometric node activity null
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model.
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<!--l. 3--><p class="noindent" ><span
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class="cmbx-10x-x-109">SYNOPSYS</span>
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<!--l. 3--><p class="indent" > <span
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class="cmbx-10x-x-109">model</span><span
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class="cmbx-10x-x-109">_hypergeometric.py </span><span
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class="cmmi-10x-x-109"><</span><span
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class="cmitt-10x-x-109">layer</span><span
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class="cmitt-10x-x-109">_N</span><span
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class="cmitt-10x-x-109">_file</span><span
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class="cmmi-10x-x-109">> <</span><span
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class="cmitt-10x-x-109">N</span><span
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class="cmmi-10x-x-109">></span>
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<!--l. 15--><p class="noindent" ><span
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class="cmbx-10x-x-109">DESCRIPTION</span>
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<!--l. 15--><p class="indent" > This is the hypergeometric model of node activation. In this model each layer
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has exactly the same number of active node of a reference multiplex network, but
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nodes on each layer are activated uniformly at random, thus destroying all
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inter-layer activity correlation patterns.
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<!--l. 15--><p class="indent" > The file <span
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class="cmti-10x-x-109">layer</span><span
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class="cmti-10x-x-109">_N</span><span
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class="cmti-10x-x-109">_file </span>reports on the n-th line the number of active nodes on
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the n-th layer (starting from zero). The second parameter <span
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class="cmti-10x-x-109">N </span>is the total number
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of active nodes in the multiplex.
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<!--l. 31--><p class="noindent" ><span
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class="cmbx-10x-x-109">OUTPUT</span>
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<!--l. 31--><p class="indent" > The program prints on <span
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class="cmtt-10x-x-109">stdout </span>a node-layer list of lines in the format:
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<!--l. 31--><p class="indent" >   <span
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class="cmti-10x-x-109">node</span><span
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class="cmti-10x-x-109">_i layer</span><span
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class="cmti-10x-x-109">_i</span>
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<!--l. 31--><p class="indent" > where <span
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class="cmti-10x-x-109">node</span><span
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class="cmti-10x-x-109">_i </span>is the ID of a node and <span
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class="cmti-10x-x-109">layre</span><span
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class="cmti-10x-x-109">_i </span>is the ID of a layer. This
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list indicates which nodes are active in which layer. For instance, the
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line:
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<!--l. 31--><p class="indent" >   <span
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class="cmti-10x-x-109">24 3</span>
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<!--l. 31--><p class="indent" > indicates that the node with ID <span
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class="cmti-10x-x-109">24 </span>is active on layer <span
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class="cmti-10x-x-109">3</span>.
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<!--l. 33--><p class="noindent" ><span
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class="cmbx-10x-x-109">REFERENCE</span>
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<!--l. 33--><p class="indent" > V. Nicosia, V. Latora, “Measuring and modeling correlations in multiplex
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networks”, <span
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class="cmti-10x-x-109">Phys. Rev. E </span><span
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class="cmbx-10x-x-109">92</span>, 032805 (2015).
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<!--l. 33--><p class="indent" > Link to paper: <a
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href="http://journals.aps.org/pre/abstract/10.1103/PhysRevE.92.032805" class="url" ><span
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class="cmtt-10x-x-109">http://journals.aps.org/pre/abstract/10.1103/PhysRevE.92.032805</span></a>
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