metric.cluster.global: Global Clustering Coefficient
In fastnet: Large-Scale Social Network Analysis
Description
Usage
Arguments
Details
Value
Author(s)
References
Examples
View source: R/metric.cluster.global.R
Description
Calculate the global clustering coefficient of a graph.
Usage
1
Arguments
g
The input network.
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.
Value
A real constant.
Author(s)
Xu Dong, Nazrul Shaikh.
References
Wasserman, Stanley, and Katherine Faust. Social network analysis: Methods and applications. Vol. 8. Cambridge university press, 1994.
Examples
1
2
3
4
## Not run:
x <- net.erdos.renyi.gnp(1000, 0.01)
metric.cluster.global(x)
## End(Not run)
fastnet documentation built on Jan. 13, 2021, 5:28 p.m.
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Description Usage Arguments Details Value Author(s) References Examples
View source: R/metric.cluster.global.R
Description
Calculate the global clustering coefficient of a graph.
Usage
1 |
Arguments
g |
The input network. |
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.
Value
A real constant.
Author(s)
Xu Dong, Nazrul Shaikh.
References
Wasserman, Stanley, and Katherine Faust. Social network analysis: Methods and applications. Vol. 8. Cambridge university press, 1994.
Examples
1 2 3 4 | ## Not run:
x <- net.erdos.renyi.gnp(1000, 0.01)
metric.cluster.global(x)
## End(Not run)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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