blob: ca9301d6cf3489a6ac8552d7c0fc5a2ea2653479 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
|
\myprogram{{node\_activity\_vectors.py}}
{compute the activity vectors of all the nodes of a multiplex.}
{$<$layer1$>$ [$<$layer2$>$ ...]}
\mydescription{Compute and print on output the activity vectors of the
nodes of a multiplex network, whose layers are given as input in the
files \textit{layer1}, \textit{layer2}, etc.
Each input file contains the (undirected) edge list of a layer, and
each line is in the format:
\hspace{0.5cm}\textit{src\_ID} \textit{dest\_ID}
where \textit{src\_ID} and \textit{dest\_ID} are the IDs of the two
endpoints of an edge.}
\myreturn{The program prints on \texttt{stdout} a list of lines, where
the n-th line contains the activity vector of the n-th node, i.e. a
bit-string where each bit is set to ``1'' if the node is active on
the corresponding layer, and to ``0'' otherwise.
\noindent As usual, node IDs start from zero and proceed
sequentially, without gaps, i.e., if a node ID is not present in any
of the layer files given as input, the program considers it as being
isolated on all the layers, and will print on output a bit-string of
zeros.}
\myreference{\refcorrelations}
|