From a86962cbfd0321387c920a04188512d0de2f3036 Mon Sep 17 00:00:00 2001 From: KatolaZ Date: Mon, 19 Oct 2015 16:30:12 +0100 Subject: First commit of MAMMULT documentation --- doc/html/mammult_docsu37.html | 98 +++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 98 insertions(+) create mode 100644 doc/html/mammult_docsu37.html (limited to 'doc/html/mammult_docsu37.html') diff --git a/doc/html/mammult_docsu37.html b/doc/html/mammult_docsu37.html new file mode 100644 index 0000000..7f93983 --- /dev/null +++ b/doc/html/mammult_docsu37.html @@ -0,0 +1,98 @@ + + +2.1.1.0 model_hypergeometric.py + + + + + + + + + + + +

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model_hypergeometric.py
+

NAME +

model_hypergeometric.py - Hypergeometric node activity null +model. +

SYNOPSYS +

model_hypergeometric.py <layer_N_file> <N> +

DESCRIPTION +

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 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 N is the total number +of active nodes in the multiplex. +

OUTPUT +

The program prints on stdout a node-layer list of lines in the format: +

  node_i layer_i +

where node_i is the ID of a node and layre_i is the ID of a layer. This +list indicates which nodes are active in which layer. For instance, the +line: +

  24 3 +

indicates that the node with ID 24 is active on layer 3. +

REFERENCE +

V. Nicosia, V. Latora, “Measuring and modeling correlations in multiplex +networks”, Phys. Rev. E 92, 032805 (2015). +

Link to paper: http://journals.aps.org/pre/abstract/10.1103/PhysRevE.92.032805 + + + +

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