# unfold_tree

From igraph v1.0.0
by Gabor Csardi

##### Convert a general graph into a forest

Perform a breadth-first search on a graph and convert it into a tree or forest by replicating vertices that were found more than once.

- Keywords
- graphs

##### Usage

`unfold_tree(graph, mode = c("all", "out", "in", "total"), roots)`

##### Arguments

- graph
- The input graph, it can be either directed or undirected.
- mode
- Character string, defined the types of the paths used for the
breadth-first search.
out follows the outgoing,in the incoming edges,all andtotal both of them. This argument is ignored f - roots
- A vector giving the vertices from which the breadth-first search is performed. Typically it contains one vertex per component.

##### Details

A forest is a graph, whose components are trees.

The `roots`

vector can be calculated by simply doing a topological sort
in all components of the graph, see the examples below.

##### Value

- A list with two components:
tree The result, an `igraph`

object, a tree or a forest.vertex_index A numeric vector, it gives a mapping from the vertices of the new graph to the vertices of the old graph.

##### Examples

```
g <- make_tree(10) %du% make_tree(10)
V(g)$id <- seq_len(vcount(g))-1
roots <- sapply(decompose(g), function(x) {
V(x)$id[ topo_sort(x)[1]+1 ] })
tree <- unfold_tree(g, roots=roots)
```

*Documentation reproduced from package igraph, version 1.0.0, License: GPL (>= 2)*

### Community examples

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