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?
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.
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.
References
Butts, C. T. (2008). “network: a Package for Managing
Relational Data in R.” Journal of Statistical Software, 24(2).
tools:::Rd_expr_doi("10.18637/jss.v024.i02")
Wasserman, S. and Faust, K. (1994). Social Network Analysis: Methods
and Applications. Cambridge: Cambridge University Press.
#Create an arbitrary adjacency matrixm<-matrix(rbinom(25,1,0.5),5,5)
diag(m)<-0g<-network.initialize(5) #Initialize the networknetwork.density(g) #Calculate the density