robustness_summary: Summary of Robustness Analysis

In cograph: Analysis and Visualization of Complex Networks

Summary of Robustness Analysis

Description

Provides a summary comparing robustness metrics across attack strategies.

Usage

robustness_summary(..., x = NULL, measures = NULL, n_iter = 1000)

Arguments

...	Robustness results to summarize.
x	Network for on-the-fly computation.
measures	Measures to compute if x provided.
n_iter	Iterations for random. Default 1000.

Value

A data frame with one row per supplied (or computed) robustness result and columns measure, auc (area under the robustness curve), critical_50 (fraction removed when the largest component first falls below 50\ same at 10\ crossed. All numeric columns are rounded to 4 decimal places.

Examples

g <- igraph::sample_pa(30, m = 2, directed = FALSE)
robustness_summary(x = g, measures = c("degree", "random"), n_iter = 10)

cograph documentation built on Sept. 30, 2026, 5:08 p.m.