sna: gliop – R documentation

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gliop

Return a Binary Operation on GLI Values Computed on Two Graphs

Description

gliop is a wrapper which allows for an arbitrary binary operation on GLIs to be treated as a single call. This is particularly useful for test routines such as cugtest and qaptest.

Usage

gliop(dat, GFUN, OP="-", g1=1, g2=2, ...)

Arguments

`dat`	a collection of graphs.
`GFUN`	a function taking single graphs as input.
`OP`	the operator to use on the output of `GFUN`.
`g1`	the index of the first input graph.
`g2`	the index of the second input graph.
`...`	Additional arguments to `GFUN`

Details

gliop operates by evaluating GFUN on the graphs indexed by g1 and g2 and returning the result of OP as applied to the GFUN output.

Value

OP(GFUN(dat[g1, , ],...),GFUN(dat[g2, , ],...))

Note

If the output of GFUN is not sufficiently well-behaved, undefined behavior may occur. Common sense is advised.

Author(s)

Carter T. Butts buttsc@uci.edu

References

Anderson, B.S.; Butts, C.T.; and Carley, K.M. (1999). “The Interaction of Size and Density with Graph-Level Indices.” Social Networks, 21(3), 239-267.

Examples

#Draw two random graphs
g<-rgraph(10,2,tprob=c(0.2,0.5))

#What is their difference in density?
gliop(g,gden,"-",1,2)

sna

Tools for Social Network Analysis

v2.6

GPL (>= 2)

Authors

Carter T. Butts [aut, cre, cph]

Initial release

2020-10-5