network.indicators {network}

Indicator Functions for Network Properties

Description

Various indicators for properties of network class objects.

Usage

has.loops(x)

is.bipartite(x, ...)

## S3 method for class 'network'
is.bipartite(x, ...)

is.directed(x, ...)

## S3 method for class 'network'
is.directed(x, ...)

is.hyper(x)

is.multiplex(x)

Arguments

x

an object of class network

...

other arguments passed to/from other methods

Details

These methods are the standard means of assessing the state of a network object; other methods can (and should) use these routines in governing their own behavior. As such, improper setting of the associated attributes may result in unpleasantly creative results. (See the edge.check argument to add.edges for an example of code which makes use of these network properties.)

The functions themselves behave has follows:

has.loops returns TRUE iff x is allowed to contain loops (or loop-like edges, in the hypergraphic case).

is.bipartite returns TRUE iff the x has been explicitly bipartite-coded. Values of bipartite=NULL, and bipartite=FALSE will evaluate to FALSE, numeric values of bipartite>=0 will evaluate to TRUE. (The value bipartite==0 indicates that it is a bipartite network with a zero-sized first partition.) Note that is.bipartite refers only to the storage properties of x and how it should be treated by some algorithms; is.bipartite(x)==FALSE it does not mean that x cannot admit a bipartition!

is.directed returns TRUE iff the edges of x are to be interpreted as directed.

is.hyper returns TRUE iff x is allowed to contain hypergraphic edges.

is.multiplex returns TRUE iff x is allowed to contain multiplex edges.

Value

TRUE or FALSE

Author(s)

Carter T. Butts [e-mail]

References

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/

See Also

network, get.network.attribute, set.network.attribute, add.edges

Examples

g<-network.initialize(5)    #Initialize the network
is.bipartite(g)
is.directed(g)
is.hyper(g)
is.multiplex(g)
has.loops(g)