KLdegree: Kullback-Liebler divergence among the density functions of...

In BioNetStat: Biological Network Analysis

Description

'KLdegree' computes the Kullback-Liebler divergence among the density functions of the degrees of two or more graphs

Usage

KLdegree(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 degree distribution.

See Also

graph.strength

density

Examples

G<-list()                                   
G[[1]]<-erdos.renyi.game(30,0.6)
G[[2]]<-barabasi.game(30,power = 1)
G[[3]]<-watts.strogatz.game(2,30,2,0.3)
f<-nDegreeDensities(G, npoints=1024, bandwidth="Sturges")
KLdegree(f)

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