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network (version 1.0-1)

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, ...)
network.copy(x)
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.

network.copy creates a new network object which duplicates its supplied argument.

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

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

h <- network.copy(g)       #Note: h<-g will not have the same effect!
summary(h)

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