This paper aims to construct a feasible two-layer network model for the emotional contagion of passenger groups in the case of large-scale flight delays. This improved emotional contagion model can study the emotional contagion mechanism and process of delayed passengers between online and offline social contact networks. Besides, it also introduces multiple attributes such as passenger personality, social relationships, offline and online social characters. Afterward, how the different scenes influence the delayed passengers’ emotional contagion is analyzed through simulation experiments. The simulation results show that the introduction of social network accelerates emotional evolution and contagion. Moreover, the significant impact of the online network layer on passengers will lead to faster and more obvious emotional infection. Our results further suggest that passengers’ emotional evolution is intensified when their heterogeneity is considered and when they enter a scene with negative emotions. This paper reveals the emotional evolution law of passengers from the two-layer network perspective, and then put forward reasonable inspirations and suggestions to the management department, which has practical significance for the early-warning of mass incidents.

本文旨在为大规模航班延误情况下的旅客群体情绪传染构建一个可行的两层网络模型。这种改进的情感传染模型可以研究在线和离线社交联系网络之间的旅客延误的情感传染机制和过程。此外，它还引入了多个属性，例如乘客个性，社交关系，离线和在线社交角色。然后，通过仿真实验分析了不同场景对延误乘客情绪传染的影响。仿真结果表明，社交网络的引入促进了情感的进化和传播。此外，在线网络层对乘客的重大影响将导致更快更明显的情感感染。我们的结果进一步表明，当考虑乘客的异质性并且进入带有负面情绪的场景时，乘客的情绪进化会加剧。本文从两层网络的角度揭示了乘客的情绪演变规律，并向管理部门提出了合理的启示和建议，对于大事件的预警具有现实意义。