2.1.1.0 model

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_docsu39.html | 107 ++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 107 insertions(+) create mode 100644 doc/html/mammult_docsu39.html (limited to 'doc/html/mammult_docsu39.html') diff --git a/doc/html/mammult_docsu39.html b/doc/html/mammult_docsu39.html new file mode 100644 index 0000000..a372150 --- /dev/null +++ b/doc/html/mammult_docsu39.html @@ -0,0 +1,107 @@ + + +2.1.1.0 model_MSM.py + + + + + + + + +

[next] [prev] [prev-tail] [tail] [up]

model_MSM.py

NAME +

model_MSM.py - Multi-activity Stochastic Model. +

SYNOPSYS +

model_MSM.py <node_Bi_file> <M> +

DESCRIPTION +

This is the Multi-activity Stochastic Model (MSM). In this model each node i +is considered active if it was active in the reference multiplex, and is activated on +each layer with a probability equal to B_i∕M where B_i was the activity of node i +in the reference multiplex. +

The file node_Bi_file is in the format: +

node_i Bi) +

where Bi is the value of node activity of node_i in the reference multiplex. +

The parameter M is the number of layers 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 + + + +

[next] [prev] [prev-tail] [front] [up]

+ -- cgit v1.2.3