The Research Of Epidemic And Information Spreading On The Complex Network

Till now,the studies on information spreading are mostly based on the SIR model or SIS model of disease,or the model changed from them,but the spreading of information is much different from that of disease.When information is spreading,human characteristics,subject of information,and the communication network are all very important,furthermore,each piece of information will die out finally.However,in the spreading of disease,human is passive,virus can stay active for a long time,and the spreading are via body-touch or air.Our work centers around the spreading of information and epidemic,the specific content of our work is as follows:(1)Exploring the average degree and community scale on the spreading properties of the community networks.The investigated community network is composed by four communities with random connections.Taken one community as source community(transmission source is located in this community)and keeping its average degree constant,when the average degree of the other three communities changes from smaller to larger than that of source community,the spreading scale of individual community and the whole network will enlarge.In another situation,when the average degree of the four are different from each other,with the increasing of the average degree of the source community,the spreading scale of the whole network will also enlarge.When keeping the average degree the same but varying the community scale,the larger the source community is the larger the spreading scale of the whole network.(2)Since 2015,"The important thing needs to say three times" has become one of the most popular language of network buzzwords.The problem we have studied in this section is that the same piece of information repeats three times on its impact.The results show that the repeated spreading of information after three times can increase the spreading scale.The results show that the information is repeated three times can indeed increase the scale of transmission.Taking into account reduction of the degree of interest in information with the passing of time,attenuation intensity parameters is introduced and it's found the larger the parameter is the smaller the spreading scale will be.(3)Exploring the effects of the source concentration and dispersed option on information spreading,based on the previous study,the content of our study is to explore the impact of multiple sources of communication on the impact of information spreading.We find that in both the random network and the regular network,compared with the centralized selection,the decentralized selection of nodes as transimission sources makes the spreading scale much larger.