graphGenerator

0th

Percentile

Generate an undirected graph with adjustable clustering coefficient

Generate an undirected graph with adjustable clustering coefficient

Keywords
models
Usage
graphGenerator(n, d, o)
Arguments
n
no. of nodes in the generated graph
d
parameter for preferential attachment
o
parameter for triple generation
Details

The graph generator works according to the prefential attachment rule. It also generates graphs with adjustable clustering coefficient. Parameter d specifies how many preferred edges a new node has. Parameter o limits how many triples to add to a new node.

See reference for details.

Value

no. of nodes
No. of nodes in the generated graph
no. of edges
No. of edges in the generated graph
edges
Edges in the generated graph

References

Approximating Clustering Coefficient and Transitivity, T. Schank, D. Wagner, Journal of Graph Algorithms and Applications, Vol. 9, No. 2 (2005).

clusteringCoef, transitivity, clusteringCoefAppr

Aliases
• graphGenerator
Examples
n <- 20
d <- 6
o <- 3
gg <- graphGenerator(n, d, o)

Documentation reproduced from package RBGL, version 1.48.1, License: Artistic-2.0

Community examples

Looks like there are no examples yet.