Study Of Information Diffusion In Social-Physical Networks Based On Individual Behaviors

The social-physical network is an information network that bridges human society and the physical world,and it is also a network where social networks and physical networks associate and interact.Composing of human society,physical world,and cyber world,the social-physical network lays a foundation in multi-dimensional space research.In terms of information network,one key issue is to precisely describe and portray the characteristics of information diffusion.Due to network coupling and node heterogeneity,information diffusion shows new characteristics such as information interaction among the coupled networks and information dissemination under the multiplex participation of heterogeneous nodes.To better meet the new challenges in information diffusion and from the individual behaviors in social networks,information diffusion under the coupled networks is fully considered,and finally based on that,the dissertation focuses on information diffusion under the influences of individual behaviors in social-physical networks.The dissertation mainly concentrates on the following three research aspects.(1)The information diffusion mechanism based on individual behaviors in social networks is first studied.Consider the fact that individual behaviors are shaped by individual attributes in social networks,the processes of information diffusion and rediffusion are separately analyzed in terms of individual behaviors.After that,the mathematical description and representation are modeled.Specifically,because of the unique self-confirmed behavior in social networks,the uncertainty of individual behaviors is considered.Finally,a susceptible-uncertain-infectious-recovered model based on individual behaviors is proposed,and using this model,the impacts of social ties and other factors on the outbreak threshold and equilibria are analyzed.In addition,considering the re-participation behavior,the susceptible-uncertain-infectious-recoveredsusceptible model under the influences of individual behaviors is also established to analyze the outbreak threshold,equilibria,and scope.(2)The information diffusion mechanism based on individual behaviors in socialphysical networks is studied.Because of the interactions of social information and physical information in social-physical networks,social individuals and their physical nodes are coupled and derived as heterogeneous nodes in social-physical networks.By considering this factor and individual behaviors,the node state changing process is constructed,while four states of IS(Inattentional-Susceptible),AS(AttentionalSusceptible),AI(Attentional-Infectious)and AR(Attentional-Recovered)are considered.In the case of the homogeneous and heterogeneous networks formed by the difference in connection,the coupling diffusion mechanisms of those networks are conducted,emphasizing the analysis of the social information and its influence on information diffusion in physical networks.(3)The control strategy of information diffusion based on individual behaviors in social-physical networks is also studied.Given the heterogeneity and connection characteristics of nodes in social-physical networks and considering the node state changing process,a control model is established to better perform information diffusion.Utilizing this control model,an optimization problem is constructed to minimize the control costs under the constraint of the maximum expected scope.By establishing the Lagrange dual problem of the optimization,the control strategy is obtained to guarantee the expected scope and the optimal control rate with the lowest control costs.