Name
Abstract | ||
|---|---|---|
This letter investigates the epidemic spreading in two-vectors propagation network (TPN). We propose detailed theoretical analysis that allows us to accurately calculate the epidemic threshold and outbreak size. It is found that the epidemics can spread across the TPN even if two sub-single-vector propagation networks (SPNs) of TPN are well below their respective epidemic thresholds. Strong positive degree-degree correlation of nodes in TPN could lead to a much lower epidemic threshold and a relatively smaller outbreak size. However, the average similarity between the neighbors from different SPNs of nodes has no effect on the epidemic threshold and outbreak size. |
Year | Venue | Field |
|---|---|---|
2013 | CoRR | Meteorology,Outbreak,Artificial intelligence,Complex network,Statistics,Mathematics,Machine learning |
DocType | Volume | Citations |
Journal | abs/1307.1834 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dawei Zhao | 1 | 193 | 20.38 |
| Lixiang Li | 2 | 533 | 46.82 |
| Haipeng Peng | 3 | 466 | 37.86 |
| Qun Luo | 4 | 39 | 3.07 |
| Yixian Yang | 5 | 1121 | 140.62 |