average_path_length()
and path_length_hist()
can be computed with the
result of distances()
, but should be faster as they are written in C.
Usage
distances(
graph,
from = integer(0L),
to = from,
weights = numeric(0L),
mode = 3L,
algorithm = c("dijkstra", "bellman-ford", "johnson")
)
average_path_length(
graph,
weights = numeric(0L),
directed = is_directed(graph),
unconn = TRUE
)
path_length_hist(graph, directed = is_directed(graph))
Arguments
- graph
An
igraph_ptr
object.- from
An integer vector of vertex IDs.
- to
An integer vector of vertex IDs.
- weights
A numeric vector of edge weights;
TRUE
to useEattr(graph, "weight")
.- mode
An integer value of edge type to count; {1: OUT, 2: IN, 3: ALL}.
- algorithm
A character string.
- directed
A logical value, whether to consider directed paths. Ignored for undirected graphs.
- unconn
A logical value.
Value
distances()
returns a matrix of distances between the vertices.
average_path_length()
returns a numeric value.
path_length_hist()
returns an integer vector.
Examples
g = graph_tree(5L)
distances(g, mode = 1L)
#> [,1] [,2] [,3] [,4] [,5]
#> [1,] 0 1 1 2 2
#> [2,] Inf 0 Inf 1 1
#> [3,] Inf Inf 0 Inf Inf
#> [4,] Inf Inf Inf 0 Inf
#> [5,] Inf Inf Inf Inf 0
average_path_length(g)
#> [1] 1.333333
path_length_hist(g)
#> [1] 4 2