移动元胞自动机的个体化网络舆情聚类模型与仿真

为了研究舆情个体的个性对现实环境下网络舆情传播和演化的影响以及舆情个体“类聚”现象，采用元胞自动机理论的建模方法，将一定网格空间的个体抽象为带有情感倾向度的元胞，设定离散值的意见倾向度。此外，定义元胞的个体特性：坚定性权重[βij]，个体影响权重[λij]。为了模拟舆情个体可以通过不同途径参与舆情事件，定义了一种新的移动规则，在边界周期条件下的元胞空间，实现了每个元胞与空间内的所有元胞的信息交流。实验结果表明：舆情演化到最后会呈现稳定状态，舆情个体的不同个性会影响稳态收敛的速度快慢；当个体特性取中间值时，系统最有可能出现意见群体意见归一现象。

Mobile cellular automata of individualized network public opinion clustering model and simulation

In order to study the influence of public opinion on the propagation and evolution of Internet public opinion in real environment, and to delve into the aggregation of public opinion, a model is established based on the theory of cellular automata. In this model, the individual in a certain grid space is abstracted as a cellular with emotional tendency, and the value of opinion tendency is discrete. In addition, each cellular is defined with two individual characteristics, the weight factor of individual firmness[βij], the weight factor of the individual influence[λij]. In order to simulate that individuals can participate in public opinion events through different ways, a new mobile rule is defined, and in the cell space with the periodic boundary condition, the exchange of information among every cell in the space is realized. Experimental results show that, the evolution of public opinion to the end will show a steady state, the individual personality will affect the convergence speed of public opinion's steady state. When the individual characteristic value lies in the middle of the value interval, the system is most likely to appear consensus phenomenon.