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<head><title>2.1.1.0 model_layer_growth.py</title> 
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>
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   <h5 class="subsubsectionHead"><a 
 id="x46-450002.1.1"></a><span 
class="cmtt-10x-x-109">model</span><span 
class="cmtt-10x-x-109">_layer</span><span 
class="cmtt-10x-x-109">_growth.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">_layer</span><span 
class="cmbx-10x-x-109">_growth.py </span>- Layer growth with preferential activation
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">_layer</span><span 
class="cmbx-10x-x-109">_growth.py  </span><span 
class="cmmi-10x-x-109">&#x003C;</span><span 
class="cmitt-10x-x-109">layer</span><span 
class="cmitt-10x-x-109">_N</span><span 
class="cmitt-10x-x-109">_file</span><span 
class="cmmi-10x-x-109">&#x003E; &#x003C;</span><span 
class="cmitt-10x-x-109">N</span><span 
class="cmmi-10x-x-109">&#x003E; &#x003C;</span><span 
class="cmitt-10x-x-109">M0</span><span 
class="cmmi-10x-x-109">&#x003E; &#x003C;</span><span 
class="cmitt-10x-x-109">A</span><span 
class="cmmi-10x-x-109">&#x003E;</span>
<span 
class="cmitt-10x-x-109">[RND]</span>
<!--l. 29--><p class="noindent" ><span 
class="cmbx-10x-x-109">DESCRIPTION</span>
<!--l. 29--><p class="indent" >   This is the model of layer growth with preferential node activation. In this
model an entire new layer arrives at time <span 
class="cmmi-10x-x-109">t </span>and a number of nodes <span 
class="cmmi-10x-x-109">N</span><sub><span 
class="cmmi-8">t</span></sub> is
activated (<span 
class="cmmi-10x-x-109">N</span>_<span 
class="cmmi-10x-x-109">t </span>is equal to the number of nodes active on that layer in the
reference multiplex). Then, each node <span 
class="cmmi-10x-x-109">i </span>of the new layer is activated with a
probability:
   <table 
class="equation-star"><tr><td>
   <center class="math-display" >
<img 
src="mammult_doc12x.png" alt="Pi(t) &prop; A + Bi (t)
" class="math-display" ></center></td></tr></table>
<!--l. 29--><p class="nopar" >
<!--l. 29--><p class="indent" >   where <span 
class="cmmi-10x-x-109">B</span><sub><span 
class="cmmi-8">i</span></sub>(<span 
class="cmmi-10x-x-109">t</span>) is the activity of node <span 
class="cmmi-10x-x-109">i </span>at time <span 
class="cmmi-10x-x-109">t </span>(i.e., the number of
layers in which node <span 
class="cmmi-10x-x-109">i </span>is active at time <span 
class="cmmi-10x-x-109">t</span>) while <span 
class="cmmi-10x-x-109">A &#x003E; </span>0 is an intrinsic
attractiveness.
<!--l. 29--><p class="indent" >   The file <span 
class="cmti-10x-x-109">layer</span><span 
class="cmti-10x-x-109">_N</span><span 
class="cmti-10x-x-109">_file </span>reports on the n-th line the number of active nodes on
the n-th layer.
<!--l. 29--><p class="indent" >   The parameter <span 
class="cmti-10x-x-109">N </span>is the number of nodes in the multiplex, <span 
class="cmti-10x-x-109">M0 </span>is the number
of layers in the initial network, <span 
class="cmti-10x-x-109">A </span>is the value of node attractiveness.
<!--l. 29--><p class="indent" >   If the user specifies <span 
class="cmtt-10x-x-109">RND </span>as the last parameter, the sequence of layers
is
                                                                     

                                                                     
<!--l. 44--><p class="noindent" ><span 
class="cmbx-10x-x-109">OUTPUT</span>
<!--l. 44--><p class="indent" >   The program prints on <span 
class="cmtt-10x-x-109">stdout </span>a node-layer list of lines in the format:
<!--l. 44--><p class="indent" >   &#x00A0;     <span 
class="cmti-10x-x-109">node</span><span 
class="cmti-10x-x-109">_i layer</span><span 
class="cmti-10x-x-109">_i</span>
<!--l. 44--><p class="indent" >   where <span 
class="cmti-10x-x-109">node</span><span 
class="cmti-10x-x-109">_i </span>is the ID of a node and <span 
class="cmti-10x-x-109">layre</span><span 
class="cmti-10x-x-109">_i </span>is the ID of a layer. This
list indicates which nodes are active in which layer. For instance, the
line:
<!--l. 44--><p class="indent" >   &#x00A0;     <span 
class="cmti-10x-x-109">24 3</span>
<!--l. 44--><p class="indent" >   indicates that the node with ID <span 
class="cmti-10x-x-109">24 </span>is active on layer <span 
class="cmti-10x-x-109">3</span>.
<!--l. 46--><p class="noindent" ><span 
class="cmbx-10x-x-109">REFERENCE</span>
<!--l. 46--><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. 46--><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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