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<head><title>1.1.2.0 aggregate_layers_w.py</title> 
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   <h5 class="subsubsectionHead"><a 
 id="x16-150001.1.2"></a><span 
class="cmtt-10x-x-109">aggregate</span><span 
class="cmtt-10x-x-109">_layers</span><span 
class="cmtt-10x-x-109">_w.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">aggregate</span><span 
class="cmbx-10x-x-109">_layers</span><span 
class="cmbx-10x-x-109">_w.py </span>- compute the (weighted) aggregated graph
associated to a multiplex.
<!--l. 3--><p class="noindent" ><span 
class="cmbx-10x-x-109">SYNOPSYS</span>
<!--l. 3--><p class="indent" >   <span 
class="cmbx-10x-x-109">aggregate</span><span 
class="cmbx-10x-x-109">_layers</span><span 
class="cmbx-10x-x-109">_w.py  </span><span 
class="cmmi-10x-x-109">&#x003C;</span><span 
class="cmitt-10x-x-109">layer1</span><span 
class="cmmi-10x-x-109">&#x003E; &#x003C;</span><span 
class="cmitt-10x-x-109">layer2</span><span 
class="cmmi-10x-x-109">&#x003E; </span><span 
class="cmitt-10x-x-109">[</span><span 
class="cmmi-10x-x-109">&#x003C;</span><span 
class="cmitt-10x-x-109">layer3</span><span 
class="cmmi-10x-x-109">&#x003E;</span><span 
class="cmitt-10x-x-109">...]</span>
<!--l. 17--><p class="noindent" ><span 
class="cmbx-10x-x-109">DESCRIPTION</span>
<!--l. 17--><p class="indent" >   Compute and print on output the edge list of the weighted aggregated graph
associated to the multiplex network given on input. An edge is present in
the aggregated graph if it exists in at least one of the M layers of the
multiplex.
<!--l. 17--><p class="indent" >   Each input file contains the (undirected) edge list of a layer, and each line is
in the format:
<!--l. 17--><p class="indent" >   &#x00A0;    <span 
class="cmti-10x-x-109">src</span><span 
class="cmti-10x-x-109">_ID dest</span><span 
class="cmti-10x-x-109">_ID</span>
<!--l. 17--><p class="indent" >   where <span 
class="cmti-10x-x-109">src</span><span 
class="cmti-10x-x-109">_ID </span>and <span 
class="cmti-10x-x-109">dest</span><span 
class="cmti-10x-x-109">_ID </span>are the IDs of the two endpoints of an
edge.
<!--l. 28--><p class="noindent" ><span 
class="cmbx-10x-x-109">OUTPUT</span>
<!--l. 28--><p class="indent" >   The program prints on <span 
class="cmtt-10x-x-109">stdout </span>the edge list of the aggregated graph
associated to the multiplex network. The edge list is a list of lines in the
format:
<!--l. 28--><p class="indent" >   &#x00A0;     <span 
class="cmti-10x-x-109">ID1 ID2 weight</span>
                                                                     

                                                                     
<!--l. 28--><p class="noindent" >where <span 
class="cmti-10x-x-109">ID1 </span>and <span 
class="cmti-10x-x-109">ID2 </span>are the IDs of the two nodes and <span 
class="cmti-10x-x-109">weight </span>is the number of
layers in which an edge between <span 
class="cmti-10x-x-109">ID1 </span>and <span 
class="cmti-10x-x-109">ID2 </span>exists.
<!--l. 30--><p class="noindent" ><span 
class="cmbx-10x-x-109">REFERENCE</span>
<!--l. 30--><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. 30--><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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