# R igraph manual pages

Use this if you are using igraph from R

 ivs {igraph} R Documentation

## Independent vertex sets

### Description

A vertex set is called independent if there no edges between any two vertices in it. These functions find independent vertex sets in undirected graphs

### Usage

ivs(graph, min = NULL, max = NULL)


### Arguments

 graph The input graph, directed graphs are considered as undirected, loop edges and multiple edges are ignored. min Numeric constant, limit for the minimum size of the independent vertex sets to find. NULL means no limit. max Numeric constant, limit for the maximum size of the independent vertex sets to find. NULL means no limit.

### Details

ivs finds all independent vertex sets in the network, obeying the size limitations given in the min and max arguments.

largest_ivs finds the largest independent vertex sets in the graph. An independent vertex set is largest if there is no independent vertex set with more vertices.

maximal_ivs finds the maximal independent vertex sets in the graph. An independent vertex set is maximal if it cannot be extended to a larger independent vertex set. The largest independent vertex sets are maximal, but the opposite is not always true.

independece.number calculate the size of the largest independent vertex set(s).

These functions use the algorithm described by Tsukiyama et al., see reference below.

### Value

ivs, largest_ivs and maximal_ivs return a list containing numeric vertex ids, each list element is an independent vertex set.

ivs_size returns an integer constant.

### Author(s)

Tamas Nepusz ntamas@gmail.com ported it from the Very Nauty Graph Library by Keith Briggs (http://keithbriggs.info/) and Gabor Csardi csardi.gabor@gmail.com wrote the R interface and this manual page.

### References

S. Tsukiyama, M. Ide, H. Ariyoshi and I. Shirawaka. A new algorithm for generating all the maximal independent sets. SIAM J Computing, 6:505–517, 1977.

cliques

### Examples


# Do not run, takes a couple of seconds
## Not run:

# A quite dense graph
set.seed(42)
g <- sample_gnp(100, 0.9)
ivs_size(g)
ivs(g, min=ivs_size(g))
largest_ivs(g)
# Empty graph
induced_subgraph(g, largest_ivs(g)[[1]])

length(maximal_ivs(g))

## End(Not run)


[Package igraph version 1.3.5 Index]