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+\myprogram{{compute\_pearson.py}}
+          {compute the Pearson's linear correlation coefficient
+          between two node properties.}  
+          {$<$file1$>$ $<$file2$>$}
+
+\mydescription{Compute the Pearson's linear correlation coefficient
+          between two sets of (either integer- or real-valued) node
+          properties provided in the input files \textit{file1}
+          and \textit{file2}. Each input file contains a list of
+          lines, where the n-th line contains the value of a node
+          property for the n-th node.  For instance, \textit{file1}
+          and \textit{file2} might contain the degrees of nodes at two
+          distinct layers of a multiplex. However, the program is
+          pretty general and can be used to compute the Pearson's
+          correlation coeffcient between any pairs of node properties.
+          }
+
+\myreturn{The program prints on \texttt{stdout} the value of the
+          Pearson's linear correlation coefficient between the two
+          sets of node properties.
+}
+
+\myreference{\refcorrelations
+
+  \refgrowth
+
+  \refnonlinear
+}