Wang Lei, Sun Han, Chen Tingqiang
School of Economics and Management, Nanjing Tech University, Nanjing 211816, China.
Foods. 2025 Jun 26;14(13):2260. doi: 10.3390/foods14132260.
From a space-time perspective, this paper constructs a CA-SHIRS model to study the psychosocial resonance diffusion of food safety risk, using complex network and cellular automata theory. The CA-SHIRS model is a framework that combines cellular automata with SHIRS (Susceptible-Hidden-Infected-Recovered-Susceptible) epidemic modeling. This methodological integration can effectively reflect local interactions and spatial distribution among consumers. Furthermore, this paper analyzes the diffusion mechanism and spatial-temporal evolution of the psychosocial resonance of food safety risk, considering the interaction between consumer heterogeneity and media communication strategies. The primary conclusions are outlined as follows: (1) An increase in infection probability, conversion probability, and immune failure probability causes the psychosocial resonance of food safety risk to spread rapidly across different regions and populations. In contrast, an increase in immune probability helps control the psychosocial resonance of food safety risk. (2) The diffusion threshold of the psychosocial resonance of food safety risk is negatively related to the consumer risk perception level, consumer risk attention, media freedom, and media report authenticity. However, it is positively correlated with consumer sentiment, market noise, and media report tendency. (3) The consumer risk perception level, consumer risk attention, media freedom, and media report authenticity can effectively inhibit the spatial-temporal diffusion of the psychosocial resonance of food safety risk. On the other hand, increases in market noise, consumer sentiment, and media report tendency accelerate the spread of the psychosocial resonance of food safety risk across different regions.
从时空角度出发，本文运用复杂网络和元胞自动机理论构建了CA - SHIRS模型，以研究食品安全风险的社会心理共振扩散。CA - SHIRS模型是一种将元胞自动机与SHIRS（易感 - 潜伏 - 感染 - 康复 - 易感）传染病模型相结合的框架。这种方法上的整合能够有效反映消费者之间的局部相互作用和空间分布。此外，本文考虑消费者异质性与媒体传播策略之间的相互作用，分析了食品安全风险社会心理共振的扩散机制和时空演变。主要结论如下：（1）感染概率、转化概率和免疫失败概率的增加会导致食品安全风险的社会心理共振在不同地区和人群中迅速传播。相反，免疫概率的增加有助于控制食品安全风险的社会心理共振。（2）食品安全风险社会心理共振的扩散阈值与消费者风险感知水平、消费者风险关注度、媒体自由度和媒体报道真实性呈负相关。然而，它与消费者情绪、市场噪音和媒体报道倾向呈正相关。（3）消费者风险感知水平、消费者风险关注度、媒体自由度和媒体报道真实性能够有效抑制食品安全风险社会心理共振的时空扩散。另一方面，市场噪音、消费者情绪和媒体报道倾向的增加会加速食品安全风险社会心理共振在不同地区的传播。
