Analysis of Online Media Transmission Based on The Theory of Giant Fluctuation of Self-organizing Network

This paper analyzes the network structure of online media based on theories such as self-organizing networks and chaotic fractal theory. Its core point of view is that the online media information transmission network is the mutual attention network of users, this network is self-organizing, and the realization of self-organization requires four necessary conditions and a certain driving force. The path of information transmission in the network is the fractal path, and the transmission process is a process toward chaos. The system halted the online media caused by the massive transmission of a single tweet in a short time is a giant fluctuation of the self-organizing network. After the fluctuation, no structural change is formed, but a functional sequencing result appears. This study helps us to understand the conditions and process of information dissemination in the self-organizing information network, and to a certain extent, it can be used to guide us to change the way of publicity, to achieve the maximum social impact in the shortest time.