clusteringCoefficient {PCIT} | R Documentation |
Calculate the clustering coefficient for an adjacency matrix. By default, the local clustering coefficient is calculated.
clusteringCoefficient(adj, FUN='localClusteringCoefficient', ...)
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 |
The clustering coefficient(s) for the adjacency matrix.
Nathan S. Watson-Haigh
localClusteringCoefficient
clusteringCoefficientPercent
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)