plot.net_stability: Plot Method for net_stability

In Nestimate: Network Estimation, Bootstrap, and Higher-Order Analysis

Plot Method for net_stability

Description

Plots mean correlation vs drop proportion for each centrality measure. The CS-coefficient is marked where the curve crosses the threshold.

Usage

## S3 method for class 'net_stability'
plot(x, ...)

Arguments

x	A net_stability object.
...	Additional arguments (ignored).

Value

A ggplot object (invisibly).

Examples

net <- build_network(data.frame(V1 = c("A","B","C","A"),
  V2 = c("B","C","A","B")), method = "relative")
cs <- centrality_stability(net, iter = 10, drop_prop = 0.3)
plot(cs)

set.seed(1)
seqs <- data.frame(
  V1 = sample(c("A","B","C"), 30, TRUE),
  V2 = sample(c("A","B","C"), 30, TRUE),
  V3 = sample(c("A","B","C"), 30, TRUE)
)
net <- build_network(seqs, method = "relative")
stab <- centrality_stability(net, measures = c("InStrength","OutStrength"),
                              iter = 10)
plot(stab)

Nestimate documentation built on April 20, 2026, 5:06 p.m.