globalClusteringCoeff: Global Clustering Coefficient

Description Usage Arguments Value Author(s) References Examples

View source: R/globalClusteringCoeff.R

Description

This method calculates the Global Clustering Coefficient.

Usage

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Arguments

g

a graph as a graphNEL object.

loc

the the local clustering coefficient.

Value

This method returns the global clustering coefficient.

Author(s)

Laurin Mueller

References

D. Watts, Small Worlds: The Dynamics of Networks Between Order and Randomness. Princeton Univ Pr, 2003. D. Watts and S. Strogatz, Collective dynamics of 'Small-World' Networks, Nature, vol. 393, no. 6684, pp. 440-442, 1998.

Examples

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library(RBGL)
set.seed(123)
g <- randomGraph(1:8, 1:5, 0.36, weights=FALSE)

loccc <- localClusteringCoeff(g)
globalClusteringCoeff(g)
globalClusteringCoeff(g,loc=loccc)

QuACN documentation built on May 2, 2019, 5:46 p.m.