Research on key user mining method of network marketing based on new media development

With the rapid development of We-media technology and network technology, wechat, Weibo, Facebook and other social networking sites have gradually become necessary social channels in People's Daily life and work. People can build diversified relationships through social media at any time, so as to form virtual online social networks of different levels and strength. Since online social networks are composed of dynamic users and interactive relationships, supporting the timely exchange of network information and data, research on key users of network marketing in the context of new media development can help enterprises orderly complete product promotion and research and development, which has a positive impact in the development of modern society. Therefore, on the basis of understanding the development background of new media, this study regards real online social network data as the analysis target, and discusses the application of false information control and efficient network marketing based on the analysis of key figures in persistent topics. The final results show that the proposed algorithm is effective in real data sets.