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<head><title>1.1.3.0 cartography_from_columns.py</title> 
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   <h5 class="subsubsectionHead"><a 
 id="x22-210001.1.3"></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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