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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"><</span><span
class="cmitt-10x-x-109">layer1</span><span
class="cmmi-10x-x-109">> <</span><span
class="cmitt-10x-x-109">layer2</span><span
class="cmmi-10x-x-109">> </span><span
class="cmitt-10x-x-109">[</span><span
class="cmmi-10x-x-109"><</span><span
class="cmitt-10x-x-109">layer3</span><span
class="cmmi-10x-x-109">></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" >   <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" >   <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, “Measuring and modeling correlations in multiplex
networks”, <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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