Name
Abstract | ||
|---|---|---|
Many epidemics or viruses in real life spread by taking advantage of other dynamic processes, e.g., the computer virus propagates with the transmission of packets. In this paper, we survey the recent progress in the study of Traffic-Driven Epidemic Spreading (TDES) on complex networks. First, we introduce several typical TDES models. Then, we analyze the key factors which have significant impact on the epidemic threshold, such as the traffic congestion and routing protocols. Furthermore, we discuss the control of the TDES by focusing on the network structure optimization and the immunization strategies. Finally, we put some issues that need to be further explored in the future. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.dcan.2018.10.005 | Digital Communications and Networks |
Keywords | DocType | Volume |
Epidemic spreading,Traffic flow,Epidemic threshold,Routing strategies,Immunity strategies | Journal | 5 |
Issue | ISSN | Citations |
1 | 2352-8648 | 0 |
PageRank | References | Authors |
0.34 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yanqing Wu | 1 | 0 | 0.34 |
| Cunlai Pu | 2 | 20 | 5.68 |
| Lunbo Li | 3 | 2 | 1.08 |
| Gongxuan Zhang | 4 | 94 | 19.89 |