病毒、谣言、舆论等在现实社会中各种复杂网络系统上的传播现象与人们现代社会经济生活息息相关,对复杂网络上各种传播现象的动力学行为研究是复杂网络理论的一个重要命题.从流行病学的角度,针对复杂网络传播行为中存在的动态过程,从自适应躲避、响应时滞、离散采样、开放式系统增长等方面综述了复杂网络传播动力学研究的若干进展.
The spreading and propagation of viruses, rumors and opinions etc. on different types of reallife networks affect significantly human activities in social and economic environments, and thus the study on dynamical behaviors of various spreading phenomena in complex networks has become one of the main subjects in the field of complex network theory. This paper briefly surveys the latest progresses of the study on spreading dynamics on complex dynamical networks in the aspects of adaptive avoiding, response delay, discrete sampling and growing of open-systems, in an attempt to assist the investigations on dynamical processes of epidemic spreading behaviors on complex networks.