Virus-Information Coevolution Spreading Dynamics on Multiplex Networks
| Autor: | Xiaolin Qin, Jian Wang, Hongying Fang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Multidisciplinary
General Computer Science Article Subject Computer science Dynamics (mechanics) Artificial networks Complex system QA75.5-76.95 01 natural sciences Virus 010305 fluids & plasmas Electronic computers. Computer science 0103 physical sciences Multiplex 010306 general physics Biological system Coevolution |
| Zdroj: | Complexity, Vol 2021 (2021) |
| ISSN: | 1099-0526 1076-2787 |
| Popis: | Virus and information spreading dynamics widely exist in complex systems. However, systematic study still lacks for the interacting spreading dynamics between the two types of dynamics. This paper proposes a mathematical model on multiplex networks, which considers the heterogeneous susceptibility and infectivity in two subnetworks. By using a heterogeneous mean-field theory, we studied the dynamic process and outbreak threshold of the system. Through extensive numerical simulations on artificial networks, we find that the virus’s spreading dynamics can be suppressed by increasing the information spreading probability, decreasing the protection power, or decreasing the susceptibility and infectivity. |
| Databáze: | OpenAIRE |
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