# network.density

0th

Percentile

##### Compute the Density of a Network

network.density computes the density of its argument.

Keywords
graphs
##### Usage
network.density(x, na.omit=TRUE, discount.bipartite=FALSE)
##### Arguments
x
an object of class network
na.omit
logical; omit missing edges from extant edges when assessing density?
discount.bipartite
logical; if x is bipartite, should “forbidden” edges be excluded from the count of potential edges?
##### Details

The density of a network is defined as the ratio of extant edges to potential edges. We do not currently consider edge values; missing edges are omitted from extent (but not potential) edge count when na.omit==TRUE.

##### Value

The network density.

##### Warning

network.density relies on network attributes (see network.indicators) to determine the properties of the underlying network object. If these are set incorrectly (e.g., multiple edges in a non-multiplex network, network coded with directed edges but set to “undirected”, etc.), surprising results may ensue.

##### 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/

Wasserman, S. and Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge: Cambridge University Press.

network.edgecount, network.size

##### Aliases
• network.density
##### 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.density(g)          #Calculate the density

Documentation reproduced from package network, version 1.13.0, License: GPL (>= 2)

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