Research On The Spread And Control Strategy Of Rumor On Social Network

The prevalence of social networks has facilitated people's communication.Individuals can post messages to friends circles and forward hot news.They are becoming an important social media and personal display platform.But at the same time,it also facilitates the dissemination of rumors.Rumors can be spread to the entire network in a short period of time,and have a huge negative impact on society.Studying the spread rules and control strategies of rumors on social networks has important practical significance and has attracted the participation of many scholars.Research on social networks is becoming a hot topic of academic research.The spread of rumors in social networks will affect the stability of society.Some widespread rumors may even cause panic among the people.The spread of rumors is not only related to the content of rumors,but also inseparable with the topological structure of social networks,and will be affected by social factors.Among them,the network topology will affect the spread of rumors spread,the threshold of rumors spread;and social factors will accelerate the spread of rumors.Therefore,studying the topological characteristics of the network and the social factors affecting the spread of rumors has become an important research topic in the field of social networking.The research results in these fields can provide important theoretical support and method guidance for public opinion control and rumors control.This paper focuses on the evolutionary process of social network growth,the spread of rumors,and the tactics of rumors.The research results include the following three aspects:1)In this paper,on the basis of Holme and Kim(HK)model,a HK extension model,HK-TDC&C model(HK extended model with turnable degree correlation),is proposed by introducing an optimal and optional triangular connection mechanism.Through this model,a social network with positive correlation and high clustering characteristics can be constructed.Firstly,the degree distribution of the model is studied by means of the mean field theory,and then the simulation is carried out through Matlab to verify the topology parameters of the HK-TDC&C model generating network,which conforms to the real social network characteristics;2)On the basis of SEIR(Susceptible-Exposed-Infected-Removed)virus transmission model,this paper puts forward a new rumor propagation model,considering the impact of comprehensive social factors on communication.The modeling method provides a reference for the rumor propagation modeling under the influence of a variety of superposition factors.The paper first analyzes the propagation equation of the rumor propagation model,and obtains the threshold of rumor diffusion in the social network,and finds that the threshold is related to the network structure.Then,on the social network and the HK-TDC&C model,the influence of the network topology and comprehensive social factors on the communication is studied in detail.The simulation results show that,after considering the comprehensive social factors,even if the infection rate is small and the initial propagation degree is low,the rumor will spread quickly to the whole network,and the practicability of the HK-TDC&C model in the rumor propagation model is also verified.3)Finally,combining the advantages of the acquaintance immune algorithm and the target immune algorithm,by setting thresholds to exclude non-essential neighbor nodes,this paper proposes an improved acquaintance immunization strategy: Iterative methods are used to find important neighbors.Through simulation verification,compared with the costly target immunity,it was found that this algorithm can achieve similar immune effects to the target immunity when the immune ratio is low.