Data Modeling and Analysis of Micro-Propagation Mode Guided by Cellular Automata Data Thoughts

Abstract

This paper analyzes the data modeling of the micro-propagation guided by the thought of cellular automata data. Use the relevant logic parameters to establish the cellular automata (CA) model transformation rules, and use the micro-propagation mode analysis technology to build a network information dissemination model coupled with the CA model and the data assimilation algorithm (EnKF). At the same time, the countermeasures for the survival and development of traditional media in the Weibo era are proposed: take the initiative and make full use of Weibo to expand the influence of traditional media; continue to maintain the credibility and authority of traditional media; formulate new policies that are conducive to the development of traditional media; Improve competitiveness and maintain differentiated competitive advantages.