基于改进CA模型的群体辟谣信息扩散效果预测

公共危机背景下，谣言借助网络、通信渠道快速扩散，扰乱社会秩序，影响社会稳定。为了控制谣言扩散，从群体微观层面的信息协同视角研究辟谣信息扩散的过程及规律，借鉴SEIR模型，引入个体的异质性，采用异质元胞自动机构建辟谣信息扩散模型。研究表明：公共危机事件下辟谣信息交互策略对信息扩散效果具有显著影响；辟谣信息移出率与信息扩散效果负相关；初始辟谣信息传播者的分布类型决定最终辟谣信息扩散效果。

Prediction of Information Diffusion Effect Under Group Based on Improved CA Model

Under the background of public crisis, rumors spread rapidly through network and communication channels, disrupting social order and social stability. In order to control the spread of rumors, this paper studies the process and law of rumor-refuting information diffusion from the perspective of information synergy between groups. Based on the SEIR model, considering the influence of individual heterogeneity on information diffusion, the rumor-refuting information diffusion model is constructed by using heterogeneous cellular automata. It finds the following conclusion：The information exchange strategy has a significant impact on the information diffusion effect; the information removal rate is negatively correlated with the information diffusion effect; the distribution type of the initial rumor-refuting information disseminator determines the final information diffusion effect.