Modeling And Emergence Mechanism Of Polarization Phenomenon Of Public Opinion On Internet

Since every netizen has a lot of commonalities in the social life under the Internet,many topics related to the lives of netizens,such as education and medical care,are often very popular as social hotspots.Once an incident involving this aspect occurs,netizens can easily form a consistent extreme tendency on the network after several rounds of discussion.This is the polarization of public opinion.The polarization phenomenon of public opinion is very likely to cause cyber violence and other extreme mass incidents,which are extremely harmful to society.This paper focuses on the macroscopic emergence and micro-interaction of the network public opinion polarization phenomenon.The specific contents are as follows:First,consider the macroscopic emergence of the paradox of individual heterogeneity and dynamic herdity.Firstly,the author introduces the trend of the herding tendency of individuals in the process of interaction,and further defines the weight of influence between different interacting individuals,and expands the interactive individuals from complete homogeneity to initial moment heterogeneity and heterogeneity.Sex.Then,the factors affecting the polarization phenomenon were verified by simulation experiments.Finally,the rationality and effectiveness of the proposed model are verified by typical cases.Second,the study of the micro-interaction mechanism of the polarization phenomenon of public opinion in the theory of social preference.First,the individuals with different social preferences are classified,and the specific behaviors driven by income are explained by defining the income function obtained by the individuals with these heterogeneous preferences.Then use the income function to set the connection disconnection rule between the interaction individuals,and expand the network from static to dynamic.Finally,the effects of individuals with different preferences on the polarization phenomenon of public opinion are analyzed through simulation.The innovations of this paper are as follows:(1)Combining the complex network theory from the perspective of social physics,based on the classical public opinion polarization model,innovatively proposes the concept of dynamic herdity and quantifies it,and proposes a new paradox polarization model.The theory of polarization phenomena is supplemented.On this basis,this paper analyzes the heterogeneous nodes and finds the importance of heterogeneous individuals in polarization research.(2)Using the improved paradox polarization model combined with the multi-agent Monte Carlo method,the attitude change of the network paradox evolution process is simulated and the parameters in the model are compared to analyze the impact.Various factors of polarization.(3)Integrating social preference theory with the study of public opinion polarization and quantifying it through mathematical formulas,explaining the interaction behavior of micro-individuals from the perspective of income supplements the deficiency of micro-interaction research in the field of public opinion polarization.