metric.cluster.global function

Global Clustering Coefficient

Calculate the global clustering coefficient of a graph.

metric.cluster.global(g)

Arguments

• g: The input network.

Returns

A real constant.

Details

The global clustering coefficient measures the ratio of (closed) triples versus the total number of all possible triples in network g. metric.cluster.global() calculates the global clustering coefficient of g.

Examples

## Not run:

x <-  net.erdos.renyi.gnp(1000, 0.01)
metric.cluster.global(x)
## End(Not run)

References

Wasserman, Stanley, and Katherine Faust. Social network analysis: Methods and applications. Vol. 8. Cambridge university press, 1994.

Author(s)

Xu Dong, Nazrul Shaikh.