Coercion from Matrices to Network Objects
as.network.matrix attempts to coerce its first argument to an object
of class network.
## Default S3 method: as.network(x, ...) ## S3 method for class 'matrix' as.network(x, matrix.type = NULL, directed = TRUE, hyper = FALSE, loops = FALSE, multiple = FALSE, bipartite = FALSE, ignore.eval = TRUE, names.eval = NULL, na.rm = FALSE, edge.check = FALSE, ...)
x |
a matrix containing an adjacency structure |
... |
additional arguments |
matrix.type |
one of |
directed |
logical; should edges be interpreted as directed? |
hyper |
logical; are hyperedges allowed? |
loops |
logical; should loops be allowed? |
multiple |
logical; are multiplex edges allowed? |
bipartite |
count; should the network be interpreted as bipartite? If present (i.e., non-NULL) it is the count of the number of actors in the bipartite network. In this case, the number of nodes is equal to the number of actors plus the number of events (with all actors preceding all events). The edges are then interpreted as nondirected. |
ignore.eval |
logical; ignore edge values? |
names.eval |
optionally, the name of the attribute in which edge values should be stored |
na.rm |
logical; ignore missing entries when constructing the network? |
edge.check |
logical; perform consistency checks on new edges? |
Depending on matrix.type, one of three edgeset constructor methods
will be employed to read the input matrix (see
edgeset.constructors). If matrix.type==NULL,
which.matrix.type will be used to guess the appropriate matrix
type.
The coercion methods will recognize and attempt to utilize the sna
extended matrix attributes where feasible. These are as follows:
"n": taken to indicate number of vertices in the network.
"bipartite": taken to indicate the network's bipartite
attribute, where present.
"vnames": taken to contain vertex
names, where present.
These attributes are generally used with edgelists,
and indeed data in sna edgelist format should be transparently
converted in most cases. Where the extended matrix attributes are in
conflict with the actual contents of x, results are no guaranteed
(but the latter will usually override the former). For an edge list, the
number of nodes in a network is determined by the number of unique nodes
specified. If there are isolate nodes not in the edge list, the "n"
attribute needs to be set. See example below.
An object of class network
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). https://www.jstatsoft.org/v24/i02/
#Draw a random matrix m<-matrix(rbinom(25,1,0.5),5) diag(m)<-0 #Coerce to network form g<-as.network.matrix(m,matrix.type="adjacency") # edge list example. Only 4 nodes in the edge list. m = matrix(c(1,2, 2,3, 3,4), byrow = TRUE, nrow=3) attr(m, 'n') = 7 as.network(m, matrix.type='edgelist')
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