Impact Of The Mesoscale Structure Of Complex Networks On Spreading

With the rapid development of computer and Internet technologies,people are able to collect and process the large variety of empirical data.These data show some interesting features.One of the discoveries is that many complex systems have complex internal structures.In order to examine the influence of these structures,scientists refer to related individuals in the system as nodes,the edges between nodes indicate relationship.This abstract network structure is called complex network.The discovery of a complex network structure and the establishment of a corresponding network model make it possible to study the influence of the structure between individuals in a complex system on network functions.Therefore,the research on complex networks in the last 30 years has received constant attention.The study of disease spreading is an ancient research topic.In recent years,due to the development of Internet technology,the spreading of information on online social networks has also become a hot research topic.Regardless of whether it is an interpersonal network as a carrier of infectious diseases or an online social network as an information dissemination,their structures are very complex.Therefore,the problem of communication on complex networks is one of the hot issues in today's society.Scientists mainly examine information dissemination,disease transmission,and problems such as the spreading of computer viruses provide a strong basis for public safety by studying the mechanisms,propagation,and control strategies of the propagation process.But the spreading is not necessarily only news and diseases,there are also some good ideas and products of life which need more people to pay more attention,and the primary task of this paper is based on how to spread information in difficult-to-spread people,and make more people receive.Secondly,byobserving the empirical data,it is found that there will be secondary outbreaks of epidemics.we analyze the conditions for secondary outbreaks.Finally,the impact of the existence of special populations on the spreading of epidemics was examined.The details are as follows:The effect of the existence of the propagation layer on the other layers in the multilayer network is studied in terms of structure and interest.We have constructed a simple two-layer network and examined the influence of the propagation layer on the difficult-to-spread layer in order from the structure and interest of the multilayer network.The research results show that: The existence of the propagating layer network will effectively promote the difficult-to-spreading layer network to improve the propagation range,in addition,the bigger the average degree of the propagating layer network,the more interested the nodes in the propagation layer are about the content spreading,and the more obvious role of the difficult-to-spreading network layer.We have also used the above research results to design a method of using the“bridge” nodes to improve the spreading range of the difficult-to-spread network layer.The conditions for the occurrence of the two peaks in the network were examined.It was found that obvious communities or multilayer structures and communities could spread out between different layers or communities,and that when the time difference of spreading process and spreading range is different,they could be produced two peaks.Studying the influence of the special populations on the spreading of the complex systems.It was found that when there are fewer special populations,the existence of extremely panicked individuals will reduce the overall spreading range,and the presence of non-panic individuals will increase the overall spreading range,but the impact is not significant.When the panic of the disease comes from the infected neighbors,braves have more advantages;and when the fear of the disease comes from the disease itself,it is more reasonable to be a timid person.When the special population is non-immunized,if the infection rate is particularly small or large,special behaviors that do not receive immunity are better.However,in a large range of infection rates,special populations that do not receive immunization will take more risks than the general population.Therefore,it is still advisable for all people to be immunized as much as possible.