R: Calculate the local clustering coefficient

localClusteringCoefficient {PCIT} | R Documentation

## Calculate the local clustering coefficient

### Description

Calculate the local clustering coefficient for each node in an adjacency matrix. The clustering coefficient is defined as the proportion of existing connections from the total possible (Watts and Strogatz, 1998).

### Usage

    	localClusteringCoefficient(adj)

### Arguments

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

### Value

A vector of local clustering coefficients for each node/gene of the adjacency matrix.

### Author(s)

Nathan S. Watson-Haigh

### References

D.J. Watts and S.H. Strogatz. (1998) Collective dynamics of 'small-world' networks. Nature. 393(6684). 440-442.

### See Also

`clusteringCoefficient`

### Examples

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

    	localClusteringCoefficient(m)

[Package PCIT version 1.5-3 Index]