Research on Demand Diffusion of Airline Tickets based on Social Media

Guihong Zhao; Xuanzhu Meng

doi:10.6981/FEM.202605_7(5).0010

Authors

Guihong Zhao
Xuanzhu Meng

DOI:

https://doi.org/10.6981/FEM.202605_7(5).0010

Keywords:

Airline Ticket; Demand Diffusion; Social Media; SEIR Model; Parameter Estimation.

Abstract

Leveraging the strong social attributes of social media platforms, airline ticket products can be rapidly disseminated through user interactions, significantly enhancing the efficiency of information delivery in online social networks. This study focuses on the demand diffusion process of airline tickets, taking Shenzhen Airlines’ live-streaming rooms as the research subject. By collecting bullet comments and user behavior data, we classify users into four states: Potential Spreader (P), Observer (O), Potential Buyer (B), and Discarder (D). An improved SEIR epidemic model is constructed to simulate the diffusion of product information. Model parameters are estimated using the least squares method based on real data. The influence of key factors such as information propagation rate and product attractiveness on demand diffusion is analyzed through numerical simulations. The results provide theoretical guidance for airlines to optimize their social media marketing strategies.

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