Use this if you are using igraph from R
Sometimes it is useful to work with a standard representation of a graph, like an adjacency matrix.
as_adjacency_matrix(graph, type = c("both", "upper", "lower"), attr = NULL, edges = FALSE, names = TRUE, sparse = igraph_opt("sparsematrices")) as_adj(graph, type = c("both", "upper", "lower"), attr = NULL, edges = FALSE, names = TRUE, sparse = igraph_opt("sparsematrices"))
graph |
The graph to convert. |
type |
Gives how to create the adjacency matrix for undirected graphs.
It is ignored for directed graphs. Possible values: |
attr |
Either Note that this works only for certain attribute types. If the |
edges |
Logical scalar, whether to return the edge ids in the matrix. For non-existant edges zero is returned. |
names |
Logical constant, whether to assign row and column names
to the matrix. These are only assigned if the |
sparse |
Logical scalar, whether to create a sparse matrix. The
‘ |
as_adjacency_matrix
returns the adjacency matrix of a graph, a
regular matrix if sparse
is FALSE
, or a sparse matrix, as
defined in the ‘Matrix
’ package, if sparse
if
TRUE
.
A vcount(graph)
by vcount(graph)
(usually) numeric
matrix.
graph_from_adjacency_matrix
, read_graph
g <- sample_gnp(10, 2/10) as_adjacency_matrix(g) V(g)$name <- letters[1:vcount(g)] as_adjacency_matrix(g) E(g)$weight <- runif(ecount(g)) as_adjacency_matrix(g, attr="weight")