birewire.similarity.dsg: Compute the Jaccard similarity index between dsg.

In BiRewire: High-performing routines for the randomization of a bipartite graph (or a binary event matrix), undirected and directed signed graph preserving degree distribution (or marginal totals)

Description

Compute the Jaccard similarity index between dsg objects described in the same way (matrices of graphs).

Usage

birewire.similarity.dsg( m1,m2)

Arguments

m1	First dsg;
m2	Second dsg.

Details

See birewire.similarity for more details.

Value

Returns the Jaccard similarity index between the objects.

Author(s)

Andrea Gobbi
Maintainer: Andrea Gobbi <[e-mail]>

Examples

library(BiRewire)
data(test_dsg)
dsg <-  birewire.induced.bipartite(test_dsg,sparse=FALSE)
birewire.similarity.dsg(dsg,birewire.rewire.dsg(dsg))
dsg <-  birewire.induced.bipartite(test_dsg,sparse=TRUE)
birewire.similarity.dsg(dsg,birewire.rewire.dsg(dsg))

BiRewire documentation built on Nov. 8, 2020, 8:09 p.m.