network (version 1.0-1)

edgeset.constructors: Edgeset Constructors for Network Objects

Description

These functions convert relational data in matrix form to network edge sets.

Usage

network.adjacency(x, g, ignore.eval = TRUE, names.eval = NULL, ...)
network.edgelist(x, g, ignore.eval = TRUE, names.eval = NULL, ...)
network.incidence(x, g, ignore.eval = TRUE, names.eval = NULL, ...)
network.bipartite(x, g, ignore.eval = TRUE, names.eval = NULL, ...)

Arguments

x

a matrix containing edge information

g

an object of class network

ignore.eval

logical; ignore edge values?

names.eval

the edge attribute under which to store edge values, if any

...

additional arguments to add.edge

Value

• Invisibly, an object of class network; these functions modify their argument in place.

Details

Each of the above functions takes a network and a matrix as input, and modifies the supplied network object by adding the appropriate edges. network.adjacency takes x to be an adjacency matrix; code.edgelist takes x to be an edgelist matrix; and network.incidence takes x to be an incidence matrix. network.bipartite takes x to be a two-mode adjacency matrix where rows and columns reflect each respective mode (conventionally, actors and events); If ignore.eval==FALSE, (non-zero) edge values are stored as edgewise attributes with name names.eval. Any additional command line parameters are passed to add.edge.

Results similar to network.adjacency can also be obtained by means of extraction/replacement operators. See the associated man page for details.

References

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

See Also

network, network.initialize, add.edge, network.extraction

Examples

#Create an arbitrary adjacency matrix
m<-matrix(rbinom(25,1,0.5),5,5)
diag(m)<-0

g<-network.initialize(5)    #Initialize the network
network.adjacency(m,g)      #Import the edge data

#Do the same thing, using replacement operators
g<-network.initialize(5)
g[,]<-m