PCIT (version 1.5-3)

clusteringCoefficient: Calculate the clustering coefficient

Description

Calculate the clustering coefficient for an adjacency matrix. By default, the local clustering coefficient is calculated.

Usage

clusteringCoefficient(adj, FUN='localClusteringCoefficient', ...)

Arguments

adj

- An adjacency matrix. Calculating the clustering coefficient only makes sense if some connections are zero i.e. no connection.

FUN

- The function for calculating the clustering coefficient.

...

- Arguments to pass to FUN

Value

The clustering coefficient(s) for the adjacency matrix.

See Also

localClusteringCoefficient clusteringCoefficientPercent

Examples

	data(PCIT)
	m <- m[1:200,1:200]        # just use a small subset of the data
	result <- pcit(m)
	m[idx(result)] <- 0
	
	clusteringCoefficient(m)