Table 3 Statistics of dynamic network datasets
From: Effective and scalable methods for graph protection strategies against epidemics on dynamic networks
Dataset | #nodes | #edges | timespan | #snapshots | Average degree of network snapshots | Average degree of |
|---|---|---|---|---|---|---|
| Â | Â | Â | Â | Â | Â | the aggregated network |
Dutch college | 32 | 3,062 | 21 days | 7 | {1.40;18.07;21.31;21.81;21.50;24.06;22.38} | 26.38 |
Hospital | 75 | 32,424 | 1 day | 5 | {8.33;19.35;18.45;16.88;13.87} | 30.37 |
Hypertext 2009 | 113 | 20,818 | 12 h | 6 | {12.58;12.04;15.77;10.19;13.03;10.53} | 38.87 |
PrimarySchool | 242 | 125,773 | 1 h | 18 | {6.87;15.77;17.39;16.67;21.15;15.00;8.74;17.79;6.89; | Â |
| Â | Â | Â | Â | Â | {10.56;15.47;14.37;18.08;24.36;14.72;9.88;20.87;9.72} | 68.74 |
Highschool 2013 | 329 | 188,508 | 1 day | 5 | {14.37;16.60;14.26;14.66;13.88} | 35.58 |
Infectious | 410 | 17,298 | 1 h | 8 | {6.15;8.22;11.25;10.57;12.48;7.82;6.49;5.61} | 13.49 |
986 | 332,334 | 30 days | 19 | {9.33;10.18;8.65;9.78;9.80;10.22;9.82;11.40;10.35;7.26; | Â | |
| Â | Â | Â | Â | Â | {9.70;11.37;11.17;6.10;10.75;11.40;11.99;8.48;4.06} | 32.58 |