Social network information visualization based on Fruchterman Reingold layout algorithm

Internet and mobile technology provide a technology platform for information transmission, content production, and interactive communication. Public opinion information involves lots of various emotions, attitudes and opinions that people express and spread through the network. Through constructing data layout and performing visualization of public opinion information, the rendering effect of abstract data can be enhanced, which can provide decision basis for decision makers and analysts. In this paper, we start with three aspects of collection, processing and visualization of public opinion data and elaborate on the process framework of transforming public opinion data into visual form. The public opinion information can be visualized using the crawler program with multi-thread pool technique, the algorithm based on isomer reduction of the Isomap algorithm and the Fruchterman Reingold layout algorithm. The comparison and analysis between the radiation tree layout algorithm and the proposed method indicate that the Fruchterman Reingold layout algorithm used in this paper has better visualization results.