Table 3.
Identity | D | BC | CC | E | All-graphs | |
---|---|---|---|---|---|---|
UNWEIGHTED | ||||||
F-Measure | 0.96 (±0.05) | 0.93 (±0.06) | 0.87 (±0.14) | 0.89 (±0.11) | 0.89 (±0.11) | 1.0 (±0.0) |
Precision | 1.0 (±0.01) | 0.97 (±0.03) | 0.99 (±0.01) | 0.99 (±0.01) | 0.99 (±0.01) | 1.0 (±0.0) |
Recall | 0.94 (±0.08) | 0.91 (±0.09) | 0.83 (±0.16) | 0.85 (±0.14) | 0.85 (±0.14) | 1.0 (±0.0) |
WEIGHTED | ||||||
F-Measure | 1.0 (±0.0) | 0.96 (±0.01) | 0.96 (±0.04) | 0.98 (±0.01) | 0.98 (±0.01) | 1.0 (±0.0) |
Precision | 1.0 (±0.0) | 0.98 (±0.02) | 0.97 (±0.03) | 1.0 (±0.0) | 1.0 (±0.0) | 1.0 (±0.0) |
Recall | 1.0 (±0.0) | 0.95 (±0.03) | 0.94 (±0.05) | 0.96 (±0.03) | 0.96 (±0.03) | 1.0 (±0.0) |
Rows report achieved results using unweighted graphs with unweighted features (upper) and using weighted graphs with weighted features (lower) [Degree (D), Betweenness Centrality (BC), Clustering Coefficient (CC), Local Efficiency (E), with all graph-metrics (all-graphs)] and without features (identity).