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\myprogram{{model\_MDM.py}}
{Multi-activity Deterministic Model.}
{$<$Bi\_file$>$ $<$M$>$}
\mydescription{This is the Multi-activity Deterministic Model (MDM).
In this model each node $i$ is considered active if it was
active in the reference multiplex, maintains the same value
of node activity $B_i$ (i.e., the number of layers in which
it was active) and is associated an activity vector sampled
uniformly at random from the $M\choose{B_i}$ possible
activity vectors with $B_i$ non-null entries.
The file \textit{Bi\_file} is in the format:
\hspace{0.5cm} \textit{Bi N(Bi)}
where \textit{Bi} is a value of node activity
and \textit{N(Bi)} is the number of nodes which had node
activity equaly to \textit{Bi} in the reference multiplex.
The parameter \textit{M} is the number of layers in the
multiplex.
}
\myreturn{The program prints on \texttt{stdout} a distribution of
bit-strings, in the format:
\hspace{0.5cm} \textit{Bi bitstring count}
where \textit{bitstring} is the activity
bitstring, \textit{Bi} is the number of non-zero entries
of \textit{bitstring} and \textit{count} is the number of
times that \textit{bitstrings} appear in the null model.}
\myreference{\refcorrelations}
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