RETRACTED: Neutrosophy theory based visualization report of sports news data

Abstract

Based on the Neutrosophy theory, this paper makes an in-depth analysis of the application status and challenges of sports data news visualization reports, so as to provide a valuable reference for the visualization development of sports data news. This paper selects two kinds of large-scale sports events of different types and scales as research objects, uses Excel data statistics method, Newtonian mechanics analysis, chaotic dynamics etc. to define and classify sports media events, and conducts research on visualization report of the evolution rules. The influence of sports media events is positively correlated with the scale of sports events. The evolution process includes three periods as “initial period”, “high-tide period” and “decay period”, has a similar process periodicity, and shows obvious chaotic characteristics such as initial value sensitivity, intrinsic randomness, fractal similarity, etc. The visualization of sports news data based on the Neutrosophy theory is the application of visualization in the news industry. The basic principle is universal. The difference lies in the fact that the news generalizes and arranges complex data with news value, and plays the role of disseminating news and satisfies the audiences’ needs for obtaining information.