Research On The Influence Mechanism Of Multi-information Interaction Propagation In Complex Social Networks

With the rapid development of the Internet and information technology,we witness the emergence and prosperity of on-line social networks,such as Twitter,Microblog,and We Chat,where users share information and experience,collaborate with each other,and spread rumors also.Compared with off-line social networks,on-line ones are much larger and more diverse which leads to sophisticated information interactions.The dispersal,massive and uncontrollable nature of information dissemination on online social platforms will also promote the dissemination of false information,thereby triggering a crisis of public opinion and rumors.Studying the influence mechanism of multi-information interaction and propagation in complex social networks has become an important subject to study the laws of information transmission,control multi-information propagation,and maintain the stability of social networks.Based on the analysis of the existing research material,it is found that there exists a mutual restraint phenomenon in the interactive communication of multi-information.Then this phenomenon is studied,and two models of interactive communication of multi-information are proposed to simulate the interactive communication of multi-information.By analyzing the simulation results,the influence mechanism of multi-information interactive propagation is obtained.The main research contents and innovations of this dissertation are as follows:Based on the small amount of information in information dissemination,a multiinformation interactive dissemination system based on cellular automata is established.And the SIR information dissemination model is adopted to integrate the influence of information interaction.The information transmission mechanism is deduced,and the proportion of member states is set to represent the scale of information transmission.Then the multi-information interactive communication is simulated.Through the analysis of the simulation results,it is concluded that the influence mechanism is the information intensity in the multi-information communication system.Based on the situation of mass information in information transmission,a multiinformation interactive transmission system based on multi-agent is established,in which two-level feedback member model and preference model are established,and the transmission mechanism of the system is deduced,it is concluded that the number of information storage is the influence mechanism of information propagation,and it is concluded that the number of information vector sum is the influence mechanism by analyzing the simulation results.