consensus_similarity {CommKern}

Consensus Similarity

Description

Description of the consensus similarity function.

Usage

consensus_similarity(comm_matrix)

Arguments

comm_matrix

a matrix whose columns are different partition and whose rows are nodes within a network

Details

This function identifies a single representative partition from a set of partitions that is the most similar to the all others. Here, similarity is taken to be the z-score of the Rand coefficient.

Value

the consensus partition determined by the maximum average pairwise similarity

Examples

set.seed(7183)
x <- sample(x = rep(1:3, 4), 12)

y <- sample(x = rep(1:3, 4), 12)

z <- sample(x = rep(1:3, 4), 12)

xyz_comms_mat <- matrix(c(x,y,z),nrow=length(x),ncol=3)
consensus_similarity(xyz_comms_mat)