Motivation model for online public opinion based on cellular automata
基于元胞自动机的网络舆论激励模型

The online public opinion is a complex system. In order to study its propagation process and evolution tendency, a motivation model based on cellular automata for online public opinion was built. It could be used to simulate the change of individual free press number and the change of individual viewpoint in networks. In this model, individuals in networks were abstracted as cellulars. The tendency degree of a person's sensibility and the limit of this degree were used to confirm the state of cellular. The sensibility motivation was used to describe the movement rule of cellular. The change of individual number and the influence of the society paroxysmal events on the propagation of online public opinion were also considered. So the model could simulate the real events in networks well and truly.