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

Data frame with AUC and critical points for each measure.

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 May 31, 2026, 5:06 p.m.