Table 2 Properties of network datasets
From: Integrating graph and reinforcement learning for vaccination strategies in complex networks
Network | Type | Nodes | Edges | Average degree | Max-degree | Clustering | Diameter |
---|---|---|---|---|---|---|---|
SYN-SF-100 | Synthetic | 100 | 291 | 5.8 | 29 | 0.14 | 5 |
SYN-SF-500 | Synthetic | 500 | 1491 | 6.0 | 85 | 0.07 | 5 |
SYN-SF-1000 | Synthetic | 1000 | 2991 | 6.0 | 111 | 0.04 | 6 |
SYN-ER-100 | Synthetic | 100 | 309 | 6.2 | 14 | 0.04 | 5 |
SYN-ER-500 | Synthetic | 500 | 1504 | 6.0 | 14 | 0.01 | 8 |
SYN-ER-1000 | Synthetic | 1000 | 2990 | 6.0 | 14 | 0.01 | 8 |
SYN-SW-100 | Synthetic | 100 | 200 | 4.0 | 6 | 0.40 | 10 |
SYN-SW-500 | Synthetic | 500 | 1000 | 4.0 | 7 | 0.37 | 16 |
SYN-SW-1000 | Synthetic | 1000 | 2000 | 4.0 | 7 | 0.37 | 17 |
SYN-SF-Community-100 | Synthetic | 100 | 273 | 5.5 | 17 | 0.26 | 7 |
SYN-SF-Community-500 | Synthetic | 500 | 1218 | 4.9 | 24 | 0.03 | 11 |
SYN-SF-Community-1000 | Synthetic | 1000 | 2924 | 5.8 | 38 | 0.02 | 10 |
SYN-ER-Community-100 | Synthetic | 100 | 238 | 4.8 | 12 | 0.06 | 6 |
SYN-ER-Community-500 | Synthetic | 500 | 1077 | 4.3 | 11 | 0.01 | 9 |
SYN-ER-Community-1000 | Synthetic | 1000 | 2149 | 4.3 | 11 | 0.00 | 10 |
N-netscience | Real-world | 379 | 914 | 4.8 | 34 | 0.74 | 17 |
N-weaver | Real-world | 64 | 177 | 5.5 | 21 | 0.60 | 6 |
N-mammalia | Real-world | 171 | 363 | 4.2 | 12 | 0.74 | 23 |
N-tortoise | Real-world | 283 | 418 | 3.0 | 11 | 0.43 | 8 |