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)
#> measure auc critical_50 critical_10
#> 1 degree 0.1922 0.1667 0.3667
#> 2 random 0.4459 0.4333 0.8000
