network (version 0.5-4)

network: Networks

Description

Construct, coerce to, test for and print network objects.

Usage

network(x, vertex.attr=NULL, vertex.attrnames=NULL, directed=TRUE, 
     hyper=FALSE, loops=FALSE, multiple=FALSE, bipartite = FALSE, ...)
as.network(x, ...)
is.network(x)
print.network(x, matrix.type=which.matrix.type(x),
    mixingmatrices=FALSE, na.omit=TRUE, ...)
summary.network(object, na.omit=TRUE, mixingmatrices=FALSE, ...)

Arguments

x

for network, a matrix giving the network structure in adjacency, incidence, or edgelist form; otherwise, an object of class network.

vertex.attr

optionally, a list containing vertex attributes.

vertex.attrnames

optionally, a list containing vertex attribute names.

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 act

matrix.type

one of "adjacency", "edgelist", "incidence".

object

an object of class network.

na.omit

logical; omit summarization of missing attributes in network?

mixingmatrices

logical; print the mixing matrices for the discrete attributes?

...

additional arguments.

Value

• network, as.network, and print.network all return a network class object; is.network returns TRUE or FALSE.

Details

network constructs a network class object from a matrix representation.

as.network tries to coerce its argument to a network, using the network function if necessary.

is.network tests whether its argument is a network (in the sense that it has class network).

print.network prints a network object in one of several possible formats. It also prints the list of global attributes of the network.

summary.network provides similar information.

References

Butts, C.T. 2002. ``Memory Structures for Relational Data in R: Classes and Interfaces'' Working Paper.

See Also

network.initialize, attribute.methods, as.network.matrix, as.matrix.network, deletion.methods, edgeset.constructors, network.indicators, plot.network

Examples

m <- matrix(rbinom(25,1,.4),5,5)
diag(m) <- 0
g <- network(m, directed=FALSE)