# unfold_tree

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Percentile

##### 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” and “total” both of them. This argument is ignored for undirected graphs.

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.

• unfold_tree
• unfold.tree
##### Examples
# NOT RUN {
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 ] })
tree <- unfold_tree(g, roots=roots)

# }

Documentation reproduced from package igraph, version 1.2.3, License: GPL (>= 2)

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