Research On Network Rumor Spreading Model With Information Aging Effect

With the rapid development of Internet technology and the popularity of smart phones.In recent years,online rumors have become more harmful than before.In order to reduce the harm of online rumors,In 2015,the use of the Internet to spread rumors and cause serious harm is included in the Criminal Law and establish an official rumor platform.Even so,the rumors of the Internet cannot be completely abolished.Therefore,it is of great significance to study the theory of rumor communication,better grasp the law of rumor communication,so as to effectively control the spread of rumors,and reduce and eliminate the harm caused by network rumors.Major innovations include:1.The propagation process of the classic SIHR network rumor propagation model is improved,which makes it more suitable for the current network rumor propagation process.It focuses on the role of information aging effect and rumor measures in the process of network rumor propagation,and proposes a phase structure.The SIHR AGING network rumor propagation model analyzes the trend of the density of each network entity with time and parameters in a uniform network,lists the average field equations,proves the equilibrium point of the equation,and performs numerical simulation.2.Based on the SIHR AGING network rumor propagation model,a new class of network rumor communication entities,rumor truth disseminators,is added.At the same time,the role of information aging factors in the process of network rumor propagation is considered,and a more realistic network rumor propagation process is proposed.SIHKR_AGING network rumor propagation model.The evolution law of the density of each network entity in the uniform network and large scale scale-free network is studied respectively.The evolution trend of density of each network entity in two different networks is compared and analyzed.In the uniform network,the average field equation of network rumor propagation is listed and the equilibrium point is calculated,and its stability is demonstrated.In large-scale scale-free networks,an interactive Markov chain(IMC)is used to characterize the transition law of node states,and the probability and quantity calculations are performed on each network entity,thereby obtaining a large-scale non-standardization.The mean field equation for the variation of the density of each network entity in the network.Finally,the MATLAB numerical calculation software is used to simulate the SIHKR AGEING network rumor propagation model.It is concluded that the information aging rate can suppress the propagation of network rumors in non-uniform networks.