Name
Abstract | ||
|---|---|---|
Network percolation model is an abstraction of many practical problems, while the spread of the disease model can be described by percolation model. The problem of the spread of the disease has been the focus of academia and the medical. Recently years, the complex network is a true reflection of the some important characteristics of the system, which is the effective means to study realistic network. In this paper, we will introduce the complex networks and network percolation. We will research the disease propagation model while research the network percolation based on complex network. We will summary and analysis the two traditional disease propagation model-SIR and SIS. And it can provide some important reference for controlling the spread of the virus. In this paper we will analyze the propagation of SIR model when consider the propagation media and the reflection SIS model. At last we will use some experiments to verify the results of those two models. And we can know that the complex network can accurate analyze the network percolation model such as disease propagation model. © 2013 ACADEMY PUBLISHER. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.4304/jnw.8.8.1874-1881 | JNW |
Keywords | Field | DocType |
complex networks,network percolation,sir model,sis model,the spread of the disease | Network formation,Interdependent networks,Epidemic model,Computer science,Complex network,Percolation,Distributed computing | Journal |
Volume | Issue | Citations |
8 | 8 | 0 |
PageRank | References | Authors |
0.34 | 1 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yong Zhang | 1 | 438 | 103.95 |
| Lin Guo | 2 | 5 | 3.70 |