dils (version 0.8.1)

RelativeNetworkInformation: Compare how much two networks inform a particular network measure

Description

Given two igraph networks, use MeasureNetworkInformation to gauge the informativeness of each network and then return the ratio. If greater than 1, then the first network specified is more informative.

Usage

RelativeNetworkInformation(g1, g2, FUN = betweenness, remove.share = 0.2, sample.size = 100, progress.bar = FALSE)

Arguments

g1

igraph, graph to measure

g2

igraph, graph to measure

FUN

function, a function that takes an igraph and returns a value for each node in the network.

remove.share

numeric, fraction of the edges that are removed randomly when perturbing the network.

sample.size

numeric, number of perturbed graphs to generate

progress.bar

logical, if TRUE then a progress bar is shown.

Value

list, containing the following

g1.over.g2	numeric
informativeness of the first network over the second	winner
character	either g1 or g2
g1.measure	numeric
MeasureNetworkInformation(g1, ...)	g2.measure
numeric	MeasureNetworkInformation(g2, ...)

Details

This measure appears to be very sensitive to the choice of FUN. See MeasureNetworkInformation for details.

References

https://github.com/shaptonstahl/dils

Examples

g.rand <- random.graph.game(100, 5/100)

pf <- matrix( c(.8, .2, .3, .7), nr=2)
g.pref <- preference.game(100, 2, pref.matrix=pf)

RelativeNetworkInformation(g.rand, g.pref)