network.indicators | R Documentation |

Various indicators for properties of `network`

class objects.

```
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)
```

`x` |
an object of class |

`...` |
other arguments passed to/from other methods |

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.

`TRUE`

or `FALSE`

Carter T. Butts buttsc@uci.edu

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/

`network`

, `get.network.attribute`

,
`set.network.attribute`

, `add.edges`

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

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