robustness_auc: Calculate Area Under Robustness Curve (AUC)
In cograph: Analysis and Visualization of Complex Networks

robustness_auc

R Documentation

Calculate Area Under Robustness Curve (AUC)

Description

Computes the area under the robustness curve using trapezoidal integration. Higher AUC indicates a more robust network. Maximum AUC is 1.0.

Usage

robustness_auc(x)

Arguments

`x`	A robustness result from `robustness`.

Value

Numeric AUC value between 0 and 1.

Examples

if (requireNamespace("igraph", quietly = TRUE)) {
  g <- igraph::sample_pa(30, m = 2, directed = FALSE)

  rob_btw <- robustness(g, measure = "betweenness")
  rob_rnd <- robustness(g, measure = "random", n_iter = 20)

  cat("Betweenness attack AUC:", round(robustness_auc(rob_btw), 3), "\n")
  cat("Random failure AUC:", round(robustness_auc(rob_rnd), 3), "\n")
}

cograph documentation built on April 1, 2026, 1:07 a.m.