Description Usage Arguments Details Value Author(s) References See Also Examples

The `as.matrix`

methods attempt to coerce their input to a matrix in adjacency, incidence, or edgelist form. Edge values (from a stored attribute) may be used if present.

1 2 3 4 5 6 7 8 9 10 | ```
## S3 method for class 'network'
as.matrix(x, matrix.type = NULL, attrname = NULL, ...)
## S3 method for class 'adjacency'
as.matrix.network(x, attrname=NULL,
expand.bipartite = FALSE, ...)
## S3 method for class 'edgelist'
as.matrix.network(x, attrname=NULL,
as.sna.edgelist = FALSE, ...)
## S3 method for class 'incidence'
as.matrix.network(x, attrname=NULL, ...)
``` |

`x` |
an object of class |

`matrix.type` |
one of |

`attrname` |
optionally, the name of an edge attribute to use for edge values |

`expand.bipartite` |
logical; if |

`as.sna.edgelist` |
logical; should the edgelist be returned in sna edglist form? |

`...` |
additional arguments. |

If no matrix type is specified, `which.matrix.type`

will be used to make an educated guess based on the shape of `x`

. Where edge values are not specified, a dichotomous matrix will be assumed.

Edgelists returned by these methods are by default in a slightly different form from the `sna`

edgelist standard, but do contain the `sna`

extended matrix attributes (see `as.network.matrix`

). They should typically be compatible with `sna`

library functions. To ensure compatibility, the `as.sna.edgelist`

argument can be set (which returns an exact `sna`

edgelist). The `as.edgelist`

function also returns a similar edgelist matrix but with an enforced sorting.

If the `attrname`

attribute is used to include a charcter attribute, the resulting edgelist matrix will be character rather than numeric.

Note that adjacency matrices may also be obtained using the extraction operator. See the relevant man page for details.

An adjacency, incidence, or edgelist matrix

Carter T. Butts buttsc@uci.edu and David Hunter dhunter@stat.psu.edu

Butts, C. T. (2008). “network: a Package for Managing Relational Data in R.” *Journal of Statistical Software*, 24(2). http://www.jstatsoft.org/v24/i02/

`which.matrix.type`

, `network`

, `network.extraction`

,`as.edgelist`

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
#Create a random network
m <- matrix(rbinom(25,1,0.5),5,5)
diag(m) <- 0
g <- network(m)
#Coerce to matrix form
as.matrix.network(g,matrix.type="adjacency")
as.matrix.network(g,matrix.type="incidence")
as.matrix.network(g,matrix.type="edgelist")
#Can also use the extraction operator
g[,] #Get entire adjacency matrix
g[1:5,6:10] #Obtain a submatrix
``` |

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