get_node_null_disparity: Disparity measures of the null model

In galanisl/DisparityFilter: Disparity filter for complex undirected weighted networks

Description

Given a degree sequence, computes the average and standard deviation of the disparities for the null corresponding to each degree.

Usage

get_node_null_disparity(degrees)

Arguments

degrees

numeric; A numeric vector containing a node degree sequence.

Value

List with the following elements:

mu	Numeric vector with the null average disparities for the given degrees.
sd	Numeric vector with the null standard deviation of disparities for the given degrees.

Author(s)

Gregorio Alanis-Lobato [e-mail]

References

Serrano, M. A. et al. (2009) Extracting the multiscale backbone of complex weighted networks. PNAS 106(16).

Examples

# Compute the null disparities for the spectrum of node degrees of the 
# included US Airports network
null_disp <- get_node_null_disparity(degrees = seq(from = 1, 
to = max(degree(air)), by = 1))

galanisl/DisparityFilter documentation built on May 16, 2019, 5:36 p.m.