Table 9 Summary of the results of the community-detection algorithms
From: Human-network regions as effective geographic units for disease mitigation
Method | Data set | Number of communities | Maximized modularity |
|---|---|---|---|
Fast Greedy | Commutes | 30 | 0.902 |
Fast Greedy | 12 | 0.717 | |
Fast Greedy | Migration | 13 | 0.588 |
Fast Greedy | Trips | 17 | 0.748 |
Fast Greedy | 12 | 0.531 | |
InfoMap | Commutes | 255 | 0.945 |
InfoMap | 8 | 0.865 | |
InfoMap | Migration | 49 | 0.795 |
InfoMap | Trips | 134 | 0.910 |
InfoMap | 49 | 0.731 | |
Louvain | Commutes | 75 | 0.954 |
Louvain | 33 | 0.871 | |
Louvain | Migration | 28 | 0.801 |
Louvain | Trips | 52 | 0.915 |
Louvain | 26 | 0.738 | |
REDCAP | Commutes | 48 | 0.898 |
REDCAP | 25 | 0.761 | |
REDCAP | Migration | 3 | 0.672 |
REDCAP | Trips | 28 | 0.794 |
REDCAP | 28 | 0.608 | |
WalkTrap | Commutes | 1353 | 0.211 |
WalkTrap | 34 | 0.234 | |
WalkTrap | Migration | 96 | 0.245 |
WalkTrap | Trips | 1 | 0.172 |
WalkTrap | 141 | 0.270 |