Credible Information Dissemination Model Analysis And Optimization Mechanism For Complex Network Communications

With the development of information technologies such as 5G and the Internet of Things,more and more nodes have joined the communication network,and deviceto-device(D2D)communication technology has become an important means of communication in the network.In a D2 D communication network,some error messages may appear during the data exchange between devices,and these error messages may be further diffused in the system.When the amount of error information reaches a certain level,the credibility of this type of error information increases,which has a higher probability to induce the system to perform some unfavorable behaviors,causing corresponding losses and even catastrophic consequences.It is said to be avoided as much as possible.This paper mainly studies how misinformation spreads among information nodes under different complex network structures,and how to intervene in the process of information dissemination,thereby improving the spread of misinformation.In order to study the problem of how information spreads in network nodes,based on the first introduction of disease models,this paper sequentially establishes the corresponding SIS(Susceptive-Infected-Susceptive),SIR(susceptive-InfectedRight)and SIRL(Suspective-Infected-Right-Latent)three information dissemination model,and use Markov process to describe the propagation relationship of different state information between nodes,using the average field and other mathematics method to transform the study of multi-body problems into single-body problems.Finally,the evolution process of the corresponding information dissemination model is analyzed by simulation,and the influence of different parameters on the information dissemination evolution process is analyzed.Based on the analysis of the above information dissemination model,this article further studies the information inspection strategy and proposes corresponding information inspection methods to suppress the spread and spread of misinformation.After the information inspection strategy was introduced,not only the error information but also the correct information were checked.According to these two types of information,the expressions of information quality were defined.At the same time,the optimization problem with the difference between information quality and cost function was established.Based on the information detection method,the evolution process of SIR and SIRL information dissemination models under different complex networks is further simulated,the respective characteristics of the information propagation model evolution process under which corresponding complex networks analyzed for small-world networks and scale-free networks,which provides an effective reference for the analysis of real networks.The characteristics of this provide an effective reference for the analysis of real networks.Finally,under the uniform network,the optimization of the difference between the information quality and the cost function in the SIR and SIRL information dissemination models is analyzed.By adjusting the cost function,the corresponding model information quality will change accordingly,and finally the information will be obtained at the corresponding cost.The case where the difference between the quality and the cost function is optimal.The research work in this paper will provide an effective theoretical basis for balancing the compromise between target information quality and cost in the process of subsequent human intervention in information dissemination.