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\myprogram{{model\_hypergeometric.py}}
{Hypergeometric node activity null model.}
{$<$layer\_N\_file$>$ $<$N$>$}
\mydescription{This is the hypergeometric model of node activation. In
this model each layer has exactly the same number of active
node of a reference multiplex network, but nodes on each
layer are activated uniformly at random, thus destroying all
inter-layer activity correlation patterns.
The file \textit{layer\_N\_file} reports on the n-th line
the number of active nodes on the n-th layer (starting from
zero). The second parameter \textit{N} is the total number
of active nodes in the multiplex.
}
\myreturn{The program prints on \texttt{stdout} a node-layer list of lines in the
format:
\hspace{0.5cm} \textit{node\_i layer\_i}
where \textit{node\_i} is the ID of a node and \textit{layre\_i} is
the ID of a layer. This list indicates which nodes are active in
which layer. For instance, the line:
\hspace{0.5cm} \textit{24 3}
indicates that the node with ID \textit{24} is active on
layer \textit{3}.
}
\myreference{\refcorrelations}
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