From: Outlier edge detection using random graph generation models and applications
\(\mu\) | LRW | GN | SLM | Danon | Louvain | Infomap |
---|---|---|---|---|---|---|
0.2 | 1.0/1.0 | 0.99/1.0 | 1.0/1.0 | 0.99/1.0 | 1.0/1.0 | 1.0/1.0 |
0.25 | 0.97/1.0 | 0.98/0.99 | 1.0/1.0 | 0.99/0.98 | 1.0/1.0 | 1.0/1.0 |
0.3 | 0.89/0.95 | 0.93/0.97 | 1.0/1.0 | 0.95/0.98 | 1.0/1.0 | 0.92/1.0 |
0.35 | 0.78/0.82 | 0.74/0.72 | 0.96/0.94 | 0.66/0.84 | 0.90/0.86 | 0.36/0.91 |
0.4 | 0.80/0.86 | 0.66/0.70 | 0.83/0.81 | 0.67/0.70 | 0.84/0.81 | 0.78/0.83 |
0.45 | 0.25/0.73 | 0.53/0.52 | 0.71/0.67 | 0.51/0.55 | 0.68/0.60 | 0.22/0.43 |
0.5 | 0.03/0.61 | 0.39/0.47 | 0.58/0.56 | 0.39/0.49 | 0.51/0.53 | 0/0.47 |