Breadth-first search is an algorithm to traverse a graph. We start from a root vertex and spread along every edge “simultaneously”.
bfs(
graph,
root,
mode = c("out", "in", "all", "total"),
unreachable = TRUE,
restricted = NULL,
order = TRUE,
rank = FALSE,
father = FALSE,
pred = FALSE,
succ = FALSE,
dist = FALSE,
callback = NULL,
extra = NULL,
rho = parent.frame(),
neimode = deprecated()
)
The input graph.
Numeric vector, usually of length one. The root vertex, or root vertices to start the search from.
For directed graphs specifies the type of edges to follow. ‘out’ follows outgoing, ‘in’ incoming edges. ‘all’ ignores edge directions completely. ‘total’ is a synonym for ‘all’. This argument is ignored for undirected graphs.
Logical scalar, whether the search should visit the
vertices that are unreachable from the given root vertex (or vertices). If
TRUE
, then additional searches are performed until all vertices are
visited.
NULL
(=no restriction), or a vector of vertices
(ids or symbolic names). In the latter case, the search is restricted to the
given vertices.
Logical scalar, whether to return the ordering of the vertices.
Logical scalar, whether to return the rank of the vertices.
Logical scalar, whether to return the father of the vertices.
Logical scalar, whether to return the predecessors of the vertices.
Logical scalar, whether to return the successors of the vertices.
Logical scalar, whether to return the distance from the root of the search tree.
If not NULL
, then it must be callback function. This
is called whenever a vertex is visited. See details below.
Additional argument to supply to the callback function.
The environment in which the callback function is evaluated.
This argument is deprecated
from igraph 1.3.0; use
mode
instead.
A named list with the following entries:
Numeric scalar. The root vertex that was used as the starting point of the search.
Character scalar. The mode
argument of the function
call. Note that for undirected graphs this is always ‘all’,
irrespectively of the supplied value.
Numeric vector. The vertex ids, in the order in which they were visited by the search.
Numeric vector. The rank for each vertex, zero for unreachable vertices.
Numeric vector. The father of each vertex, i.e. the vertex it was discovered from.
Numeric vector. The previously visited vertex for each vertex, or 0 if there was no such vertex.
Numeric vector. The next vertex that was visited after the current one, or 0 if there was no such vertex.
Numeric vector, for each vertex its distance from the
root of the search tree. Unreachable vertices have a negative distance
as of igraph 1.6.0, this used to be NaN
.
Note that order
, rank
, father
, pred
, succ
and dist
might be NULL
if their corresponding argument is
FALSE
, i.e. if their calculation is not requested.
The callback function must have the following arguments:
The input graph is passed to the callback function here.
A named numeric vector, with the following entries: ‘vid’, the vertex that was just visited, ‘pred’, its predecessor (zero if this is the first vertex), ‘succ’, its successor (zero if this is the last vertex), ‘rank’, the rank of the current vertex, ‘dist’, its distance from the root of the search tree.
The extra argument.
The callback must return FALSE
to continue the search or TRUE
to terminate it. See examples below on how to
use the callback function.
dfs()
for depth-first search.
Other structural.properties:
component_distribution()
,
connect()
,
constraint()
,
coreness()
,
degree()
,
dfs()
,
distance_table()
,
edge_density()
,
feedback_arc_set()
,
girth()
,
is_acyclic()
,
is_dag()
,
is_matching()
,
k_shortest_paths()
,
knn()
,
reciprocity()
,
subcomponent()
,
subgraph()
,
topo_sort()
,
transitivity()
,
unfold_tree()
,
which_multiple()
,
which_mutual()
## Two rings
bfs(make_ring(10) %du% make_ring(10),
root = 1, "out",
order = TRUE, rank = TRUE, father = TRUE, pred = TRUE,
succ = TRUE, dist = TRUE
)
#> $root
#> [1] 1
#>
#> $mode
#> [1] "out"
#>
#> $order
#> + 20/20 vertices, from 2c8005d:
#> [1] 1 2 10 3 9 4 8 5 7 6 11 12 20 13 19 14 18 15 17 16
#>
#> $rank
#> [1] 1 2 4 6 8 10 9 7 5 3 11 12 14 16 18 20 19 17 15 13
#>
#> $father
#> + 20/20 vertices, from 2c8005d:
#> [1] NA 1 2 3 4 5 8 9 10 1 NA 11 12 13 14 15 18 19 20 11
#>
#> $pred
#> + 20/20 vertices, from 2c8005d:
#> [1] NA 1 10 9 8 7 5 4 3 2 NA 11 20 19 18 17 15 14 13 12
#>
#> $succ
#> + 20/20 vertices, from 2c8005d:
#> [1] 2 10 9 8 7 NA 6 5 4 3 12 20 19 18 17 NA 16 15 14 13
#>
#> $dist
#> [1] 0 1 2 3 4 5 4 3 2 1 0 1 2 3 4 5 4 3 2 1
#>
#> $neimode
#> [1] "out"
#>
## How to use a callback
f <- function(graph, data, extra) {
print(data)
FALSE
}
tmp <- bfs(make_ring(10) %du% make_ring(10),
root = 1, "out",
callback = f
)
#> vid pred succ rank dist
#> 1 0 2 1 0
#> vid pred succ rank dist
#> 2 1 10 2 1
#> vid pred succ rank dist
#> 10 2 3 3 1
#> vid pred succ rank dist
#> 3 10 9 4 2
#> vid pred succ rank dist
#> 9 3 4 5 2
#> vid pred succ rank dist
#> 4 9 8 6 3
#> vid pred succ rank dist
#> 8 4 5 7 3
#> vid pred succ rank dist
#> 5 8 7 8 4
#> vid pred succ rank dist
#> 7 5 6 9 4
#> vid pred succ rank dist
#> 6 7 0 10 5
#> vid pred succ rank dist
#> 11 0 12 11 0
#> vid pred succ rank dist
#> 12 11 20 12 1
#> vid pred succ rank dist
#> 20 12 13 13 1
#> vid pred succ rank dist
#> 13 20 19 14 2
#> vid pred succ rank dist
#> 19 13 14 15 2
#> vid pred succ rank dist
#> 14 19 18 16 3
#> vid pred succ rank dist
#> 18 14 15 17 3
#> vid pred succ rank dist
#> 15 18 17 18 4
#> vid pred succ rank dist
#> 17 15 16 19 4
#> vid pred succ rank dist
#> 16 17 0 20 5
## How to use a callback to stop the search
## We stop after visiting all vertices in the initial component
f <- function(graph, data, extra) {
data["succ"] == -1
}
bfs(make_ring(10) %du% make_ring(10), root = 1, callback = f)
#> $root
#> [1] 1
#>
#> $mode
#> [1] "out"
#>
#> $order
#> + 20/20 vertices, from d56aa95:
#> [1] 1 2 10 3 9 4 8 5 7 6 11 12 20 13 19 14 18 15 17 16
#>
#> $rank
#> NULL
#>
#> $father
#> NULL
#>
#> $pred
#> NULL
#>
#> $succ
#> NULL
#>
#> $dist
#> NULL
#>
#> $neimode
#> [1] "out"
#>