Study On The Similarities, Differences And Interplay Between Disease And Information Spreading On Complex Networks

In recent years, more and more researchers have paid much attention to the study in complex network science. The spreading of dynamics research in complex networks is a hot research field and has been widely investigated. The spreading of epidemic and the spreading of information are two main propagation behaviors. Early, people understood the spreading behavior as a special case of the spreading of disease, therefore the classical model SIR or modified models based on SIR model are used to study the dynamics of information dissemination. However, the empirical studies demonstrated that behavior or information spreading has social reinforcement effect, memory effect, time decaying effect, etc. which is different from the disease propagation. Thus, study the information dissemination which could reveal the real spreading way has the practical or theoretical significance.Existing studies on the dynamics of epidemics on complex networks mainly focus on the models consisting of one type of spreading dynamics. One important fact is often ignored:the outbreaks of epidemics will simultaneously lead to the diffusions of related information, opinions, panics, etc., through various channels. These behaviors, in turn, affect and even change the ways of the spreading of epidemics, which essentially forms the subject about the interplay of multi-type spreading dynamics on coupled networks.This paper mainly introduced the related concepts of complex network and illustrated several classical models of complex networks. Then we propose a new model of information spreading which considers the impacts of the friend intimacy-based weight on the information spreading dynamics. Finally, study the interplay between epidemic spreading and the diffusion of awareness in multiplex networks are investigated.First, we put forward a information dissemination model by considering the impact of the edge weight which is defined based on friend intimacy. Then study the impacts of social reinforcement, edge weight and the non-locality effect of network on information spreading. We show that strong ties will reduce the range of propagation.On the contrary, weak ties will enlarge propagation. Meanwhile, we find that when the social reinforcement strength is small, information transmission in the random networks will have wider spread range than in the regular networks. Otherwise, the result will be opposite.Second, we study the interplay between the epidemic spreading and the awareness of individuals in multiplex network. we assume that individuals can become aware from different ways, on one hand, they can be informed by the other aware neighbors in information networks; on the other hand, individuals can become self-initiated awareness induced by the infected neighbors in contact networks (local information) or massive media (global information).Finally we conclude the work we have done and present outlook of further researches in this field.