Convert igraph objects to adjacency or edge list matrices
Source:R/conversion.R
as.matrix.igraph.RdGet adjacency or edgelist representation of the network stored as an
igraph object.
Arguments
- x
object of class igraph, the network
- matrix.type
character, type of matrix to return, currently "adjacency" or "edgelist" are supported
- ...
other arguments to/from other methods
Value
Depending on the value of matrix.type either a square
adjacency matrix or a two-column numeric matrix representing the edgelist.
Details
If matrix.type is "edgelist", then a two-column numeric edge list
matrix is returned. The value of attrname is ignored.
If matrix.type is "adjacency", then a square adjacency matrix is
returned. For adjacency matrices, you can use the attr keyword argument
to use the values of an edge attribute in the matrix cells. See the
documentation of as_adjacency_matrix for more details.
Other arguments passed through ... are passed to either
as_adjacency_matrix() or as_edgelist()
depending on the value of matrix.type.
See also
Other conversion:
as.directed(),
as_adj_list(),
as_adjacency_matrix(),
as_biadjacency_matrix(),
as_data_frame(),
as_edgelist(),
as_graphnel(),
as_long_data_frame(),
graph_from_adj_list(),
graph_from_graphnel()
Examples
g <- make_graph("zachary")
as.matrix(g, "adjacency")
#> 34 x 34 sparse Matrix of class "dgCMatrix"
#>
#> [1,] . 1 1 1 1 1 1 1 1 . 1 1 1 1 . . . 1 . 1 . 1 . . . . . . . . . 1 . .
#> [2,] 1 . 1 1 . . . 1 . . . . . 1 . . . 1 . 1 . 1 . . . . . . . . 1 . . .
#> [3,] 1 1 . 1 . . . 1 1 1 . . . 1 . . . . . . . . . . . . . 1 1 . . . 1 .
#> [4,] 1 1 1 . . . . 1 . . . . 1 1 . . . . . . . . . . . . . . . . . . . .
#> [5,] 1 . . . . . 1 . . . 1 . . . . . . . . . . . . . . . . . . . . . . .
#> [6,] 1 . . . . . 1 . . . 1 . . . . . 1 . . . . . . . . . . . . . . . . .
#> [7,] 1 . . . 1 1 . . . . . . . . . . 1 . . . . . . . . . . . . . . . . .
#> [8,] 1 1 1 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
#> [9,] 1 . 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 . 1 1
#> [10,] . . 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
#> [11,] 1 . . . 1 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . .
#> [12,] 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
#> [13,] 1 . . 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
#> [14,] 1 1 1 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
#> [15,] . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1
#> [16,] . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1
#> [17,] . . . . . 1 1 . . . . . . . . . . . . . . . . . . . . . . . . . . .
#> [18,] 1 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
#> [19,] . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1
#> [20,] 1 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
#> [21,] . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1
#> [22,] 1 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
#> [23,] . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1
#> [24,] . . . . . . . . . . . . . . . . . . . . . . . . . 1 . 1 . 1 . . 1 1
#> [25,] . . . . . . . . . . . . . . . . . . . . . . . . . 1 . 1 . . . 1 . .
#> [26,] . . . . . . . . . . . . . . . . . . . . . . . 1 1 . . . . . . 1 . .
#> [27,] . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 . . . 1
#> [28,] . . 1 . . . . . . . . . . . . . . . . . . . . 1 1 . . . . . . . . 1
#> [29,] . . 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 . 1
#> [30,] . . . . . . . . . . . . . . . . . . . . . . . 1 . . 1 . . . . . 1 1
#> [31,] . 1 . . . . . . 1 . . . . . . . . . . . . . . . . . . . . . . . 1 1
#> [32,] 1 . . . . . . . . . . . . . . . . . . . . . . . 1 1 . . 1 . . . 1 1
#> [33,] . . 1 . . . . . 1 . . . . . 1 1 . . 1 . 1 . 1 1 . . . . . 1 1 1 . 1
#> [34,] . . . . . . . . 1 1 . . . 1 1 1 . . 1 1 1 . 1 1 . . 1 1 1 1 1 1 1 .
as.matrix(g, "edgelist")
#> [,1] [,2]
#> [1,] 1 2
#> [2,] 1 3
#> [3,] 1 4
#> [4,] 1 5
#> [5,] 1 6
#> [6,] 1 7
#> [7,] 1 8
#> [8,] 1 9
#> [9,] 1 11
#> [10,] 1 12
#> [11,] 1 13
#> [12,] 1 14
#> [13,] 1 18
#> [14,] 1 20
#> [15,] 1 22
#> [16,] 1 32
#> [17,] 2 3
#> [18,] 2 4
#> [19,] 2 8
#> [20,] 2 14
#> [21,] 2 18
#> [22,] 2 20
#> [23,] 2 22
#> [24,] 2 31
#> [25,] 3 4
#> [26,] 3 8
#> [27,] 3 28
#> [28,] 3 29
#> [29,] 3 33
#> [30,] 3 10
#> [31,] 3 9
#> [32,] 3 14
#> [33,] 4 8
#> [34,] 4 13
#> [35,] 4 14
#> [36,] 5 7
#> [37,] 5 11
#> [38,] 6 7
#> [39,] 6 11
#> [40,] 6 17
#> [41,] 7 17
#> [42,] 9 31
#> [43,] 9 33
#> [44,] 9 34
#> [45,] 10 34
#> [46,] 14 34
#> [47,] 15 33
#> [48,] 15 34
#> [49,] 16 33
#> [50,] 16 34
#> [51,] 19 33
#> [52,] 19 34
#> [53,] 20 34
#> [54,] 21 33
#> [55,] 21 34
#> [56,] 23 33
#> [57,] 23 34
#> [58,] 24 26
#> [59,] 24 28
#> [60,] 24 33
#> [61,] 24 34
#> [62,] 24 30
#> [63,] 25 26
#> [64,] 25 28
#> [65,] 25 32
#> [66,] 26 32
#> [67,] 27 30
#> [68,] 27 34
#> [69,] 28 34
#> [70,] 29 32
#> [71,] 29 34
#> [72,] 30 33
#> [73,] 30 34
#> [74,] 31 33
#> [75,] 31 34
#> [76,] 32 33
#> [77,] 32 34
#> [78,] 33 34
# use edge attribute "weight"
E(g)$weight <- rep(1:10, length.out = ecount(g))
as.matrix(g, "adjacency", sparse = FALSE, attr = "weight")
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13]
#> [1,] 0 1 2 3 4 5 6 7 8 0 9 10 1
#> [2,] 1 0 7 8 0 0 0 9 0 0 0 0 0
#> [3,] 2 7 0 5 0 0 0 6 1 10 0 0 0
#> [4,] 3 8 5 0 0 0 0 3 0 0 0 0 4
#> [5,] 4 0 0 0 0 0 6 0 0 0 7 0 0
#> [6,] 5 0 0 0 0 0 8 0 0 0 9 0 0
#> [7,] 6 0 0 0 6 8 0 0 0 0 0 0 0
#> [8,] 7 9 6 3 0 0 0 0 0 0 0 0 0
#> [9,] 8 0 1 0 0 0 0 0 0 0 0 0 0
#> [10,] 0 0 10 0 0 0 0 0 0 0 0 0 0
#> [11,] 9 0 0 0 7 9 0 0 0 0 0 0 0
#> [12,] 10 0 0 0 0 0 0 0 0 0 0 0 0
#> [13,] 1 0 0 4 0 0 0 0 0 0 0 0 0
#> [14,] 2 10 2 5 0 0 0 0 0 0 0 0 0
#> [15,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [16,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [17,] 0 0 0 0 0 10 1 0 0 0 0 0 0
#> [18,] 3 1 0 0 0 0 0 0 0 0 0 0 0
#> [19,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [20,] 4 2 0 0 0 0 0 0 0 0 0 0 0
#> [21,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [22,] 5 3 0 0 0 0 0 0 0 0 0 0 0
#> [23,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [24,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [25,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [26,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [27,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [28,] 0 0 7 0 0 0 0 0 0 0 0 0 0
#> [29,] 0 0 8 0 0 0 0 0 0 0 0 0 0
#> [30,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [31,] 0 4 0 0 0 0 0 0 2 0 0 0 0
#> [32,] 6 0 0 0 0 0 0 0 0 0 0 0 0
#> [33,] 0 0 9 0 0 0 0 0 3 0 0 0 0
#> [34,] 0 0 0 0 0 0 0 0 4 5 0 0 0
#> [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25]
#> [1,] 2 0 0 0 3 0 4 0 5 0 0 0
#> [2,] 10 0 0 0 1 0 2 0 3 0 0 0
#> [3,] 2 0 0 0 0 0 0 0 0 0 0 0
#> [4,] 5 0 0 0 0 0 0 0 0 0 0 0
#> [5,] 0 0 0 0 0 0 0 0 0 0 0 0
#> [6,] 0 0 0 10 0 0 0 0 0 0 0 0
#> [7,] 0 0 0 1 0 0 0 0 0 0 0 0
#> [8,] 0 0 0 0 0 0 0 0 0 0 0 0
#> [9,] 0 0 0 0 0 0 0 0 0 0 0 0
#> [10,] 0 0 0 0 0 0 0 0 0 0 0 0
#> [11,] 0 0 0 0 0 0 0 0 0 0 0 0
#> [12,] 0 0 0 0 0 0 0 0 0 0 0 0
#> [13,] 0 0 0 0 0 0 0 0 0 0 0 0
#> [14,] 0 0 0 0 0 0 0 0 0 0 0 0
#> [15,] 0 0 0 0 0 0 0 0 0 0 0 0
#> [16,] 0 0 0 0 0 0 0 0 0 0 0 0
#> [17,] 0 0 0 0 0 0 0 0 0 0 0 0
#> [18,] 0 0 0 0 0 0 0 0 0 0 0 0
#> [19,] 0 0 0 0 0 0 0 0 0 0 0 0
#> [20,] 0 0 0 0 0 0 0 0 0 0 0 0
#> [21,] 0 0 0 0 0 0 0 0 0 0 0 0
#> [22,] 0 0 0 0 0 0 0 0 0 0 0 0
#> [23,] 0 0 0 0 0 0 0 0 0 0 0 0
#> [24,] 0 0 0 0 0 0 0 0 0 0 0 0
#> [25,] 0 0 0 0 0 0 0 0 0 0 0 0
#> [26,] 0 0 0 0 0 0 0 0 0 0 8 3
#> [27,] 0 0 0 0 0 0 0 0 0 0 0 0
#> [28,] 0 0 0 0 0 0 0 0 0 0 9 4
#> [29,] 0 0 0 0 0 0 0 0 0 0 0 0
#> [30,] 0 0 0 0 0 0 0 0 0 0 2 0
#> [31,] 0 0 0 0 0 0 0 0 0 0 0 0
#> [32,] 0 0 0 0 0 0 0 0 0 0 0 5
#> [33,] 0 7 9 0 0 1 0 4 0 6 10 0
#> [34,] 6 8 10 0 0 2 3 5 0 7 1 0
#> [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34]
#> [1,] 0 0 0 0 0 0 6 0 0
#> [2,] 0 0 0 0 0 4 0 0 0
#> [3,] 0 0 7 8 0 0 0 9 0
#> [4,] 0 0 0 0 0 0 0 0 0
#> [5,] 0 0 0 0 0 0 0 0 0
#> [6,] 0 0 0 0 0 0 0 0 0
#> [7,] 0 0 0 0 0 0 0 0 0
#> [8,] 0 0 0 0 0 0 0 0 0
#> [9,] 0 0 0 0 0 2 0 3 4
#> [10,] 0 0 0 0 0 0 0 0 5
#> [11,] 0 0 0 0 0 0 0 0 0
#> [12,] 0 0 0 0 0 0 0 0 0
#> [13,] 0 0 0 0 0 0 0 0 0
#> [14,] 0 0 0 0 0 0 0 0 6
#> [15,] 0 0 0 0 0 0 0 7 8
#> [16,] 0 0 0 0 0 0 0 9 10
#> [17,] 0 0 0 0 0 0 0 0 0
#> [18,] 0 0 0 0 0 0 0 0 0
#> [19,] 0 0 0 0 0 0 0 1 2
#> [20,] 0 0 0 0 0 0 0 0 3
#> [21,] 0 0 0 0 0 0 0 4 5
#> [22,] 0 0 0 0 0 0 0 0 0
#> [23,] 0 0 0 0 0 0 0 6 7
#> [24,] 8 0 9 0 2 0 0 10 1
#> [25,] 3 0 4 0 0 0 5 0 0
#> [26,] 0 0 0 0 0 0 6 0 0
#> [27,] 0 0 0 0 7 0 0 0 8
#> [28,] 0 0 0 0 0 0 0 0 9
#> [29,] 0 0 0 0 0 0 10 0 1
#> [30,] 0 7 0 0 0 0 0 2 3
#> [31,] 0 0 0 0 0 0 0 4 5
#> [32,] 6 0 0 10 0 0 0 6 7
#> [33,] 0 0 0 0 2 4 6 0 8
#> [34,] 0 8 9 1 3 5 7 8 0