search_graph | R Documentation |
These functions wraps the igraph::bfs()
and igraph::dfs()
functions to
provide a consistent return value that can be used in dplyr::mutate()
calls. Each function returns an integer vector with values matching the order
of the nodes in the graph.
bfs_rank(root, mode = "out", unreachable = FALSE)
bfs_parent(root, mode = "out", unreachable = FALSE)
bfs_before(root, mode = "out", unreachable = FALSE)
bfs_after(root, mode = "out", unreachable = FALSE)
bfs_dist(root, mode = "out", unreachable = FALSE)
dfs_rank(root, mode = "out", unreachable = FALSE)
dfs_rank_out(root, mode = "out", unreachable = FALSE)
dfs_parent(root, mode = "out", unreachable = FALSE)
dfs_dist(root, mode = "out", unreachable = FALSE)
root |
The node to start the search from |
mode |
How edges are followed in the search if the graph is directed.
|
unreachable |
Should the search jump to a new component if the search is
terminated without all nodes being visited? Default to |
An integer vector, the nature of which is determined by the function.
bfs_rank()
: Get the succession in which the nodes are visited in a breath first search
bfs_parent()
: Get the nodes from which each node is visited in a breath first search
bfs_before()
: Get the node that was visited before each node in a breath first search
bfs_after()
: Get the node that was visited after each node in a breath first search
bfs_dist()
: Get the number of nodes between the root and each node in a breath first search
dfs_rank()
: Get the succession in which the nodes are visited in a depth first search
dfs_rank_out()
: Get the succession in which each nodes subtree is completed in a depth first search
dfs_parent()
: Get the nodes from which each node is visited in a depth first search
dfs_dist()
: Get the number of nodes between the root and each node in a depth first search
# Get the depth of each node in a tree
create_tree(10, 2) %>%
activate(nodes) %>%
mutate(depth = bfs_dist(root = 1))
# Reorder nodes based on a depth first search from node 3
create_notable('franklin') %>%
activate(nodes) %>%
mutate(order = dfs_rank(root = 3)) %>%
arrange(order)
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