RelativeNetworkInformation {dils} | R Documentation |
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.
RelativeNetworkInformation(g1, g2, FUN = betweenness, remove.share = 0.2, sample.size = 100, progress.bar = FALSE)
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. |
This measure appears to be very sensitive to the choice
of FUN
. See
MeasureNetworkInformation
for details.
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, ...) |
Stephen R. Haptonstahl srh@haptonstahl.org
https://github.com/shaptonstahl/dils
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)