Editorial: Compartmental models for social interactions.

The editorial in "Frontiers in Physics" discusses the use of compartmental models in understanding social interactions, information spread, and behavioral dynamics beyond traditional epidemiological contexts. The article highlights the historical context and theoretical framework of compartmental models, their applications in various fields, and recent advancements in incorporating network topology. It also features articles on forecasting infections using graph neural networks, competitive information propagation in online social networks, dynamic network representation for rumor propagation, and the impact of assortative mixing on epidemic spread. The research emphasizes the importance of network structure in shaping epidemic dynamics and social behavior, inviting further exploration into interconnected systems for a deeper understanding of public health and information dissemination. [Extracted from the article]