Derivative Rumor Propagation Research Based On The Influence Of Propagation Error And Malicious Tampering

With the development of the Internet,the speed and influence of information dissemination has increased significantly.However,rumor is also propagated on the large range with real information,and has seriously affected normal production and life.In particular,derivative rumor is more likely to cause bad influence because of its many different versions and garbling truth,which derived from real information evolution caused by propagation errors and malicious tampering.Therefore,it is of important theoretical and practical value to research the formation and propagation of derivative rumor.After analyzing the classical opinion propagation model,evolution model and the information evolutionary problem caused by propagation errors and malicious tampering,this paper proposed the improved linear threshold model based on trust imitation(TI-LT Model).On the basis of the classical linear threshold model,this model introduces the trustbased measurement method of individuals' influence and imitation probability to describe the process of individuals selecting imitation objects.Different probability parameters are used to describe the problem of propagation errors and malicious tampering.The degree of information confusion caused by derivative rumors was measured by network information entropy and real information proportion.This paper proved that TI-LT model describes the process of derivative rumor production and propagation in more detail compared with the classical linear threshold model.Based on the TI-LT model and the basic network environment constructed by three real social network datasets,this paper analyzed the network internal factors and external punishment mechanisms by prohibiting talking that influence derivative rumors dissemination,and made some suggestions to network administrators.The experimental results about network internal factors,such as propagation threshold distribution,propagation error and malicious tampering,showed that the perfect network environment suppresses derivative rumors from the root constructed by low propagation error probability,small proportion of malicious nodes and low tampering probability.At the same time,it is necessary to expand the supervision scope and develop targeted management measures.The results of the punishment mechanisms by prohibiting talking,about punishment object,punishment time,punishment memory,indicated that the network administrators should reasonably choose the punishment object,grasp the appropriate punishment intensity,make punished individuals to keep the reason of punishment in mind,and make decisions and take actions as soon as possible.The research content and method of this paper have certain novelty.The conclusions have universal significance and provide theoretical basis for the practice of rumor prevention.