Research On The Propagation Model Of Public Opinion On The News APP

Internet is an open, interactive, and real-time sharing platform. With the rapid development of information and network technology, network public opinion collect the fragmented information into an organic whole. The network public opinion also spread in a large scale. At the same time, the regulators is difficult to track the virtual network. Once the negative information spread, it is difficult to suppress and control the impact on society effectively. In a word, the network supervision of public opinion is still limited. The rising of 3G, 4G network in recent years and the spread of wireless network, internet users, as mainstay of public opinion, are used to obtaining information from mobile terminals gradually. It becomes the main platform of the information aggregation and diffusion.However, compared with the traditional communication channels, mobile Internet is lack of complete supervision system and effective technical means. A large number of false and useless information increase in a geometric way. Taking this as the background, this paper focus on the mobile terminal network public opinion. This paper analysis and summaries the occurrence and evolution of network public opinion. To some extent, this paper has an important practical significance to obtain public opinion control and early warning reasonably and effectively.On the base of summarizing related research results in and abroad, this paper defines the relevant concepts and expounds the basic theory involved. This paper analyzed communication channels, communication subject and mobile terminals in reality. Based on the SEIR epidemic model, sophisticated network analysis and theory modeling, mobile terminals in reality is abstracted as a node. After characteristics and contact process of it is analyzed in microcosm, this paper summarizes the information dissemination process of network public opinion on the mobile terminal and proposes a network public opinion information dissemination model. In this way, news APP on smart phone, as a case, is verified.