iterateComplete: Complete iteration with node attributes, random removal, and...

In toledobastos/iterateNetwork: Simulation and iteration over network projections

Description

Description: The function iterateComplete takes an igraph or network object and proceeds to complete node removal based on node attributes, random removal, and degree removal.

Usage

iterateComplete(net.object, attribute="color", net.iterate = "min", plot.estimators = TRUE)

Arguments

net.object	The network object. Accepts both igraph and network objects.
attribute	Required for running iterations over vertex/node attribute.
net.iterate	Defaults to low and defines the number of interations. Also accepts mid for half the potential iterations and max for all possible iterations and permutations.
collapse.minor	Defaults to 1 and defines the minimum number of nodes per subgroup in the selected attribute. Subgroups with fewer nodes than defined by collapse.minor will be grouped together with the label ETAL.
plot.estimators	Defaults to TRUE to include a plot of the estimates generated during iterations.

Author(s)

Marco T. Bastos

Examples

# Not run:
net.object <- barabasi.game(50)
V(net.object)$color <- ifelse(V(net.object) 
iterateComplete(net.object, attribute="color", net.iterate = "min", plot.estimators = TRUE)

toledobastos/iterateNetwork documentation built on May 31, 2019, 5:14 p.m.