Graph motifs are small connected induced subgraphs with a well-defined structure. These functions search a graph for various motifs.

## Usage

`motifs(graph, size = 3, cut.prob = rep(0, size))`

## Arguments

- graph
Graph object, the input graph.

- size
The size of the motif, currently sizes 3 and 4 are supported in directed graphs and sizes 3-6 in undirected graphs.

- cut.prob
Numeric vector giving the probabilities that the search graph is cut at a certain level. Its length should be the same as the size of the motif (the

`size`

argument). By default no cuts are made.

## Value

`motifs()`

returns a numeric vector, the number of occurrences of
each motif in the graph. The motifs are ordered by their isomorphism
classes. Note that for unconnected subgraphs, which are not considered to be
motifs, the result will be `NA`

.

## Details

`motifs()`

searches a graph for motifs of a given size and returns a
numeric vector containing the number of different motifs. The order of
the motifs is defined by their isomorphism class, see
`isomorphism_class()`

.

## See also

Other graph motifs:
`count_motifs()`

,
`dyad_census()`

,
`sample_motifs()`

## Examples

```
g <- sample_pa(100)
motifs(g, 3)
#> [1] NA NA 259 NA 86 0 0 0 0 0 0 0 0 0 0 0
count_motifs(g, 3)
#> [1] 345
sample_motifs(g, 3)
#> [1] 250
```