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+ <h5 class="subsubsectionHead"><a
+ id="x21-200001.1.3"></a><span
+class="cmtt-10x-x-109">cartography</span><span
+class="cmtt-10x-x-109">_from</span><span
+class="cmtt-10x-x-109">_columns.py</span></h5>
+<!--l. 4--><p class="noindent" ><span
+class="cmbx-10x-x-109">NAME</span>
+<!--l. 4--><p class="indent" > <span
+class="cmbx-10x-x-109">cartography</span><span
+class="cmbx-10x-x-109">_from</span><span
+class="cmbx-10x-x-109">_columns.py </span>- compute total and participation
+coefficient of generic structural descriptors of the nodes of a multiplex.
+<!--l. 4--><p class="noindent" ><span
+class="cmbx-10x-x-109">SYNOPSYS</span>
+<!--l. 4--><p class="indent" > <span
+class="cmbx-10x-x-109">cartography</span><span
+class="cmbx-10x-x-109">_from</span><span
+class="cmbx-10x-x-109">_columns.py </span><span
+class="cmmi-10x-x-109">&#x003C;</span><span
+class="cmitt-10x-x-109">filein</span><span
+class="cmmi-10x-x-109">&#x003E; &#x003C;</span><span
+class="cmitt-10x-x-109">col1</span><span
+class="cmmi-10x-x-109">&#x003E; &#x003C;</span><span
+class="cmitt-10x-x-109">col2</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">col3</span><span
+class="cmmi-10x-x-109">&#x003E;</span><span
+class="cmitt-10x-x-109">...]</span>
+<!--l. 22--><p class="noindent" ><span
+class="cmbx-10x-x-109">DESCRIPTION</span>
+<!--l. 22--><p class="indent" > Compute and print on output the sum and the corresponding participation
+coefficient of a generic structural descriptor of the nodes of a multiplex.
+<!--l. 22--><p class="noindent" >The input file is a generic collection of single-space-separated columns, where
+each line corresponds to a node. The user must specify the IDs of the columns
+which contain the node structural descriptors to be used in the cartography
+diagram. Columns IDs start from ZERO. For example:
+<!--l. 22--><p class="indent" > <span
+class="cmbx-10x-x-109">python cartography</span><span
+class="cmbx-10x-x-109">_from</span><span
+class="cmbx-10x-x-109">_layers.py filein.txt 0 2 4 6 8</span>
+<!--l. 22--><p class="noindent" >will create a cartography diagram assuming that the multiplex network has five
+layers, and that the node structural descriptors at each layers are contained in
+the first (0), third (2), fifth (4), seventh (6) and nineth (8) columns of each
+row.
+<!--l. 33--><p class="noindent" ><span
+class="cmbx-10x-x-109">OUTPUT</span>
+<!--l. 33--><p class="indent" > The program prints on <span
+class="cmtt-10x-x-109">stdout </span>a list of lines in the format:
+<!--l. 33--><p class="indent" > &#x00A0; <span
+class="cmti-10x-x-109">tot</span><span
+class="cmti-10x-x-109">_n P</span><span
+class="cmti-10x-x-109">_n</span>
+<!--l. 33--><p class="indent" > where <span
+class="cmti-10x-x-109">tot</span><span
+class="cmti-10x-x-109">_n </span>is the sum over the layers of the considered structural descriptor
+for node <span
+class="cmmi-10x-x-109">n</span>, and <span
+class="cmti-10x-x-109">P</span><span
+class="cmti-10x-x-109">_n </span>is the associated participation coefficient
+<!--l. 35--><p class="noindent" ><span
+class="cmbx-10x-x-109">REFERENCE</span>
+<!--l. 35--><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. 35--><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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