Research On The Inversion Evolution Mechanism Of Opinion Dynamics

With the popularity of mobile devices such as mobile phones,in the role of public opinion,social platform based on the mobile Internet is gradually replacing the traditional print media.Because of the character of mobile network which is involving mobility,real-time and self-media characteristics that makes the public opinion spread quickly and widely.At the same time,the social network platform based on mobile network has increased year by year of the network of violence in an endless stream.But to the relevant government departments,their have brought huge regulatory challenges.Based on a great deal of literatures on opinion dynamics and complex networks at home and abroad.Firstly,a public opinion dynamic model which adapts to the mobile social environment is established.And then,from the simulation level,the reasons for the formation of public opinion reversal are analyzed.Finally,prepared a tendency analysis of public opinion platform.The main contributions are as follows:1.Summarized the domestic and foreign scholars to the complex network modeling and opinion dynamics model general situation.Detail introduction and analysis for bounded confidence model in opinion dynamics.Considered the mobile Internet social platform interactive view of the status quo,summed up the original HK model shortcomings and given the direction of improvement.2.Based on the influence of unconnected individuals on mobile social platform,the opinion dynamic model based on virtual gravity is proposed,which considering the network connection between users and adding the Internet platform view interactive natural law.Which embodies the characteristics of the interactive network of real mobile Internet viewpoints.The social crowd is not isolated from each other.There is a virtual connection between each individual,and non-connected nodes also have resonance of viewpoints.3.Based on the model of opinion dynamic proposed in this paper,BA-scale-free network was used to simulate the interactive network of social users in real mobile internet.Then studies the causes of the phenomenon of public opinion reversal through different combinations of parameters,and summarizes the influence of the number of extreme views on the evolution of group view,which provide some practical significance to the government agencies in the control of public opinion.And the real network data is used to validate the model,which proves that the proposed model is consistent with the real public opinion reversal event to a certain extent.4.Prepare a tendency analysis of public opinion platform.The crawler program for Sina microblogging is compiled by the Scrapy framework based on Python 2.7.The user information,comment data of the fans under the ID and the interested objects are recursively crawled.Based on the crawled information,the real microblogging user network model is built.The dynamic model of public opinion based on virtual force is embedded in the dynamic simulation environment of opinion dynamic by Matlab,and the corresponding data can be inputted through the interface platform.It can be simulated conveniently.