Epidemic Spreading And Suppression On Temporal Chinese Aviation Network

With the continuous development of the economy,the aviation system has achieved unprecedented development as an important means of inter-city transportation.The huge aviation network affects many issues such as resource allocation,epidemic prediction,and traffic optimization.Among them,the problem of epidemic spreading,which is closely related to people's life and health,is particularly prominent.Previous studies have constructed a static aviation network with the navigation city as the node and the flight as the link(edge),and studied the spreading characteristics of epidemics in the static aviation network.However,the presence or absence of flights in the aviation system corresponds to the interaction between airports,which has important theoretical and practical significance for better characterizing the aviation system and accurately reflecting the spread process of epidemics on the aviation network.Based on complex network theory and computer simulation,a series of studies about epidemic spreading and suppression on temporal aviation network are carried out in this paper.In this paper,the research work of temporal aviation network is mainly carried out from the following three aspects.(1)The first part of this paper introduces the source of aviation data and the temporal aviation network model.On this basis,the statistical indicators of the topological characteristics(including degree,clustering coefficient,core number)and accessibility of the temporal aviation network are calculated and compared with the results of the static aviation network.(2)The second part of this paper analyses the factors that influence the process of epidemic spreading on temporal aviation networks.With the help of classical epidemic spreading model and considering the factors affecting the temporal aviation network spreading,the dissemination results considering the source of infection,the probability of infection and the start time of spreading are analyzed in detail.In addition,in view of the importance of peak traffic in traffic analysis,this paper carries out K-Means clustering based on the peak throughput of each airport city in temporal aviation network,and analyses the propagation characteristics of each cluster.(3)In the third part of this paper,two strategies of epidemic spreading suppression are proposed.The first is the part target control strategy.In the aviation network,a certain proportion of nodes are selected according to the degree,coreness and movements of nodes,and epidemic spreading control is carried out.In the course of spreading,the infected person will infect the susceptible person in the controlled and uncontrolled state with different probability.The second is an acquaintance suppression strategy based on information dissemination.In the process of putting forward this strategy,a coreness-based coupled epidemic spreading model is established.Based on this model,the situation of airport cities that acquire information of disease transmission taking measures to suppress epidemic spreading according to their own importance is analyzed.Finally,the influence of delay on local control strategy and acquaintance suppression' strategy is analyzed.The research shows that the larger the throughput of airport city in Chinese aviation network,the stronger the spreading ability of the node as the source of infection;the disease outbreak at 9:00 a.m.,and its spreading range is larger.When the disease breaks out in the aviation network,the node with higher K-Shell should be controlled.The inhibition coefficient based on the K-Shell has a significant inhibitory effect on the spread of the disease,and when the inhibitory factor increases to a certain extent,the inhibitory effect tends to be stable.The results are robust to different correlations.