KLspectrum: Kullback-Liebler divergence among the spectral density...

In BioNetStat: Biological Network Analysis

Description

'KLspectrum' computes the Kullback-Liebler divergence among the spectral density functions of two or more graphs

Usage

KLspectrum(f)

Arguments

f	a list containing the components 'x' and 'densities'. The first element is the vector 'x' of 'npoints' coordinates of the points where the density function i estimated, and the second is a vector 'y' of the estimated density values.

Value

returns a list containing the components 'theta' and 'partial'. 'theta' is a value representaing the Kullback-Liebler divergence among the corresponding distributions. 'partial' is a vector of KL divergences between each network distribuiton and the average spectral distribution.

See Also

graph.strength

density

Examples

A<-list()
A[[1]]<-as.matrix(as_adj(erdos.renyi.game(30,0.6,directed = FALSE)))
A[[2]]<-as.matrix(as_adj(barabasi.game(30,power = 1,directed = FALSE)))
A[[3]]<-as.matrix(as_adj(watts.strogatz.game(1,30,2,0.3)))
f<-nSpectralDensities(A, bandwidth="Sturges")
KLspectrum(f)

BioNetStat documentation built on Feb. 3, 2021, 2:01 a.m.