network.edgecount returns the number of edges within a
network, removing those flagged as missing if desired.
# S3 method for network
network.edgecount(x, na.omit = TRUE, ...)The number of edges
an object of class network
logical; omit edges with na==TRUE from the count?
additional arguments, used by extending functio
network.edgecount uses the real state of the
network object to count edges, not the state it hypothetically should have.
Thus, if you add extra edges to a non-multiplex network, directed edges to
an undirected network, etc., the actual number of edges in the object will
be returned (and not the number you would expect if you relied only on the
putative number of possible edges as reflected by the
network.indicators). Don't create network objects with
contradictory attributes unless you know what you are doing.
Carter T. Butts buttsc@uci.edu
The return value is the number of distinct edges within the network object, including multiplex edges as appropriate. (So if there are 3 edges from vertex i to vertex j, each contributes to the total edge count.)
The return value network.edgecount is in the present implementation
related to the (required) mnext network attribute. mnext is
an internal legacy attribute that currently indicates the index number of
the next edge to be added to a network object. (Do not modify it unless you
enjoy unfortunate surprises.) The number of edges returned by
network.edgecount is equal to x%n%"mnext"-1, minus the number
of NULL edges (and missing edges, if na.omit==TRUE). Note
that g%n%"mnext"-1 cannot, by itself, be counted upon to be an
accurate count of the number of edges! As mnext is not part of the
API (and is not guaranteed to remain), users and developers are urged to use
network.edgecount instead.
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/
get.network.attribute
#Create a network with three edges
m<-matrix(0,3,3)
m[1,2]<-1; m[2,3]<-1; m[3,1]<-1
g<-network(m)
network.edgecount(g)==3 #Verify the edgecount
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