R: Calculate the clustering coefficient

clusteringCoefficient {PCIT} | R Documentation

## 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.

### Author(s)

Nathan S. Watson-Haigh

### 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)

[Package PCIT version 1.5-3 Index]