Table 3 Relative enhancement of the proposed noise-aware game-theoretic algorithm over the AGM on real-world datasets
From: Community detection in networks: a game-theoretic framework
Dataset | Noise level ε2 | 0.1 | 0.2 | 0.3 | 0.4 |
|---|---|---|---|---|---|
Facebook ego-network dataset | 4.08% | 7.09% | 9.42% | 16.93% | |
DBLP dataset | 3.90% | 7.55% | 11.49% | 14.07% | |