基于模糊元胞自动机的网络舆情传播模型研究

Study on Propagation Model of Network Public Opinion Based on Fuzzy Cellular Automata

考虑到信息在传递过程中普遍存在模糊性的特点,结合经典元胞自动机理论和模糊推理算法,设计网络舆情传播的元胞自动机结构,定义环境适应度k和偏好度h 2个输入变量,建立网络舆情传播的模糊元胞自动机模型。对网络舆情传播中个体观点的演化过程进行Matlab仿真与分析,结果表明,在经过交流与讨论(对应于元胞进行足够多次数的迭代和演化)后,群体的观点和意见会出现归一的现象,归一不是归于处在2个极端的赞成或反对,而是向中间聚拢,最后形成一个折中的意见。该模型可以更好地描述网络舆情的实际传播过程。

Considering the fuzziness in the process of information dissemination, fuzzy algorithm is introduced into the classical model of Cellular Automata（CA） in this paper. By defining two fuzzy variables, social environment fitness and preference degree, the fuzzy CA model of network public opinion propagation process is set up. The evolution process of personal view in the forming process of public opinion is simulated and analyzed by fuzzy logic toolbox of Matlab. The result shows that the number of neutral group gradually increases, while those who hold extreme attitudes gradually decrease after extensive communication and discussion. They reach a compromise that this model can better describe the actual propagation of network public opinion.