Description Usage Arguments Details Value Author(s) References Examples
View source: R/metric.cluster.median.R
Calculate the median local clustering coefficient of a graph.
1 |
g |
The input network. |
The local clustering coefficient of a node is the ratio of the triangles connected to the node and the triples centered on the node.metric.cluster.median()
calculates the (estimated) median clustering coefficient for all nodes in graph g with a justified error.
A real constant.
Xu Dong, Nazrul Shaikh.
Wasserman, Stanley, and Katherine Faust. Social network analysis: Methods and applications. Vol. 8. Cambridge university press, 1994.
1 2 3 4 | ## Not run:
x <- net.erdos.renyi.gnp(1000, 0.1)
metric.cluster.median(x)
## End(Not run)
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