network: Network Objects

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"(x, matrix.type = which.matrix.type(x), mixingmatrices = FALSE, na.omit = TRUE, print.adj = FALSE, ...)
"summary"(object, na.omit=TRUE, mixingmatrices=FALSE,  print.adj = TRUE, ...)

Arguments

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, non-FALSE) 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 preceeding all events). The edges are then interpreted as nondirected. Values of bipartite==0 are permited, indicating a bipartite network with zero-sized first partition.

matrix.type

one of "adjacency", "edgelist", "incidence". See edgeset.constructors for details and optional additional arguments

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?

print.adj

logical; print the network adjacency structure?

...

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. If the matrix.type parameter is not specified, it will make a guess as to the intended edgeset.constructors function to call based on the format of these input matrices. If the class of x is not a matrix, network construction can be dispatched to other methods. For example, If the ergm package is loaded, network() can function as a shorthand for as.network.numeric with x as an integer specifying the number of nodes to be created in the random graph. If the ergm package is loaded, network can function as a shorthand for as.network.numeric if x is an integer specifying the number of nodes. See the help page for as.network.numeric in ergm package for details.

network.copy creates a new network object which duplicates its supplied argument. (Direct assignment with <- should be used rather than network.copy in most cases.)

as.network tries to coerce its argument to a network, using the as.network.matrix functions if x is a matrix. (If the argument is already a network object, it is returned as-is and all other arguments are ignored.)

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

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: same as h<-g
summary(h)

Run the code above in your browser using DataCamp Workspace