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Research On The Web2.0 Network Opinion Diffusion Based On Deffuant Model

Posted on:2017-08-22Degree:MasterType:Thesis
Country:ChinaCandidate:X LiFull Text:PDF
GTID:2348330512479009Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
Since China’s access to the Internet in 1990s,the network has gradually realized the socialization,and has a strong expression of public opinion and transfer function.WeChat,micro-blog,led by a variety of new modes of communication showed a rapid development trend,the rise of new media in order to lay a good foundation for public opinion.In the process of the occurrence,development and variation of the public opinion,the network public opinion,such as the news report,the citizen’s attitude and opinion,forms the diffusion situation and the blowout effect in the network.Have a profound impact on public opinion on the public thought,action and social changes in the situation,the communication process and the form of complex,this to the public awareness and government guidance of the public opinion of network events brought great difficulties.The research of public opinion communication can promote the development of the viewpoint dynamics and the complex system theory,and the research results can be applied to the organization decision-making,the government’s crisis management and the enterprise’s commercial marketing activities.For the dissemination of public opinion research,has put forward a variety of kinetic model,which discrete point model can reflect the mechanism of evolution of the binary view,but in real life,people’s view of the event is usually continuous change,need continuous interval model to explain.Deffuant model is a classical continuous opinion evolution model,people to communicate within the specific scope of trust.The model can explain the phenomenon of view interactive reality "purity" and "the parting of the ways".Based on Deffuant model,this paper proposes an opinion dynamic model,namely Deffuant-I,which considers the information level that describes one’s individual knowledge,as well as his/her cognitive ability which represent different abilities of information processing.The simulation results show that when the group’s information level follows uniform distribution or power-law distribution,the cognitive ability is inversely proportional to the convergence speed,and the opinion convergence speed is higher when the group’s information level is power-law distributed.When the information level is normally distributed,it is hard to obtain consensus opinion,while the cognitive ability is proportional to the convergence speed.The rise of new media has laid a good foundation for the public opinion.In this paper,combined with the characteristics of the transmission of the reality of the WeChat environment,the introduction of the media(WeChat public number)in the Deffuant model to establish a new model of public opinion.It is found that:the media activity and the nature of the media significantly affect the evolution trend of the group views,the impact of the individual activity and the nature of the evolution of the group is not significant.When there are more media in the community,the final view of the group is the evolution trend of oscillation,when the media is less,the group view can reach a consensus.
Keywords/Search Tags:public opinion diffusion, opinion dynamics, Deffuant model, information level, wechat, media
PDF Full Text Request
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