graphGenerator {RBGL} | R Documentation

## Generate an undirected graph with adjustable clustering coefficient

### Description

Generate an undirected graph with adjustable clustering coefficient

### 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

### Author(s)

Li Long <li.long@isb-sib.ch>

### References

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

### See Also

clusteringCoef, transitivity, clusteringCoefAppr

### Examples

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

[Package RBGL version 1.18.0 Index]