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<head><title>1.1.2.0 aggregate_layers_w.py</title>
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<h5 class="subsubsectionHead"><a
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id="x16-150001.1.2"></a><span
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class="cmtt-10x-x-109">aggregate</span><span
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class="cmtt-10x-x-109">_layers</span><span
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class="cmtt-10x-x-109">_w.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">aggregate</span><span
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class="cmbx-10x-x-109">_layers</span><span
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class="cmbx-10x-x-109">_w.py </span>- compute the (weighted) aggregated graph
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associated to a multiplex.
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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">aggregate</span><span
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class="cmbx-10x-x-109">_layers</span><span
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class="cmbx-10x-x-109">_w.py </span><span
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class="cmmi-10x-x-109"><</span><span
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class="cmitt-10x-x-109">layer1</span><span
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class="cmmi-10x-x-109">> <</span><span
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class="cmitt-10x-x-109">layer2</span><span
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class="cmmi-10x-x-109">> </span><span
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class="cmitt-10x-x-109">[</span><span
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class="cmmi-10x-x-109"><</span><span
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class="cmitt-10x-x-109">layer3</span><span
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class="cmmi-10x-x-109">></span><span
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class="cmitt-10x-x-109">...]</span>
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<!--l. 17--><p class="noindent" ><span
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class="cmbx-10x-x-109">DESCRIPTION</span>
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<!--l. 17--><p class="indent" > Compute and print on output the edge list of the weighted aggregated graph
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associated to the multiplex network given on input. An edge is present in
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the aggregated graph if it exists in at least one of the M layers of the
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multiplex.
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<!--l. 17--><p class="indent" > Each input file contains the (undirected) edge list of a layer, and each line is
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in the format:
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<!--l. 17--><p class="indent" >   <span
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class="cmti-10x-x-109">src</span><span
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class="cmti-10x-x-109">_ID dest</span><span
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class="cmti-10x-x-109">_ID</span>
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<!--l. 17--><p class="indent" > where <span
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class="cmti-10x-x-109">src</span><span
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class="cmti-10x-x-109">_ID </span>and <span
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class="cmti-10x-x-109">dest</span><span
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class="cmti-10x-x-109">_ID </span>are the IDs of the two endpoints of an
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edge.
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<!--l. 28--><p class="noindent" ><span
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class="cmbx-10x-x-109">OUTPUT</span>
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<!--l. 28--><p class="indent" > The program prints on <span
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class="cmtt-10x-x-109">stdout </span>the edge list of the aggregated graph
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associated to the multiplex network. The edge list is a list of lines in the
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format:
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<!--l. 28--><p class="indent" >   <span
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class="cmti-10x-x-109">ID1 ID2 weight</span>
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<!--l. 28--><p class="noindent" >where <span
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class="cmti-10x-x-109">ID1 </span>and <span
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class="cmti-10x-x-109">ID2 </span>are the IDs of the two nodes and <span
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class="cmti-10x-x-109">weight </span>is the number of
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layers in which an edge between <span
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class="cmti-10x-x-109">ID1 </span>and <span
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class="cmti-10x-x-109">ID2 </span>exists.
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<!--l. 30--><p class="noindent" ><span
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class="cmbx-10x-x-109">REFERENCE</span>
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<!--l. 30--><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. 30--><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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