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_docsu38.html | 106 ++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 106 insertions(+) create mode 100644 doc/html/mammult_docsu38.html (limited to 'doc/html/mammult_docsu38.html') diff --git a/doc/html/mammult_docsu38.html b/doc/html/mammult_docsu38.html new file mode 100644 index 0000000..1f1e918 --- /dev/null +++ b/doc/html/mammult_docsu38.html @@ -0,0 +1,106 @@ + + +2.1.1.0 model_MDM.py + + + + + + + + +

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model_MDM.py

NAME +

model_MDM.py - Multi-activity Deterministic Model. +

SYNOPSYS +

model_MDM.py <Bi_file> <M> +

DESCRIPTION +

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 + B_i) + possible activity vectors with B_i non-null entries. +

The file Bi_file is in the format: +

Bi N(Bi) +

where Bi is a value of node activity and N(Bi) is the number of nodes which +had node activity equaly to Bi in the reference multiplex. +

The parameter M is the number of layers in the multiplex. +

OUTPUT +

The program prints on stdout a distribution of bit-strings, in the +format: +

Bi bitstring count +

where bitstring is the activity bitstring, Bi is the number of non-zero entries +of bitstring and count is the number of times that bitstrings appear in the null +model. +

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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