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 Bi∕M where Bi 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