KLdegree {BioNetStat} | R Documentation

## Kullback-Liebler divergence among the density functions of the degrees of two or more graphs

### 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)

[Package BioNetStat version 1.6.0 Index]