randomNodeGraph: Generate Random Graph with Specified Degree Distribution

In Bioconductor/graph: graph: A package to handle graph data structures

Generate Random Graph with Specified Degree Distribution

Description

randomNodeGraph generates a random graph with the specified degree distribution. Self-loops are allowed. The resultant graph is directed (but can always be coerced to be undirected).

Usage

randomNodeGraph(nodeDegree)

Arguments

nodeDegree

A named integer vector specifying the node degrees.

Details

The input vector must be named, the names are taken to be the names of the nodes. The sum must be even (there is a theorem that says we require that to construct a graph). Self-loops are allowed, although patches to the code that make this a switchable parameter would be welcome.

Value

An instance of the graphNEL class. The graph is directed.

Author(s)

R. Gentleman

References

Random Graphs as Models of Networks, M. E. J. Newman.

See Also

randomGraph, randomEGraph

Examples

set.seed(123)
c1 <- c(a = 1, b = 1, c = 2, d = 4)

(g1 <- randomNodeGraph(c1))
stopifnot(validObject(g1))

Bioconductor/graph documentation built on Nov. 2, 2024, 7:25 a.m.