Social Media And Disaster Communication: Analysing The Evolution Of Network Structural Properties During The 2025 Us Palisades Fire

This project investigates the dynamic evolution of social network structural properties during disaster communication events. Utilizing longitudinal social network analysis (SNA) techniques, the study examines how metrics such as clustering coefficient, modularity, centrality, and density transform across distinct phases of a disaster, from its onset through its conclusion. The research aims to demonstrate that these structural properties serve as quantifiable indicators of underlying sociological processes that govern the trajectory of information exchange during crises. Specifically, it seeks to elucidate how significant shifts in network topology reflect the co-evolution of information diffusion, the establishment of institutional influence, and the formation of trust among participants. The investigation posits that critical transitions observed

in the network's structural characteristics are directly indicative of these evolving sociological dynamics. The findings are expected to reveal that robust disaster communication networks tend to exhibit moderate levels of modularity and clustering, thereby balancing the necessity for centralized coordination with the demand for localized psychological support and information dissemination. Beyond a specific case study, this approach offers a reproducible methodological framework for analyzing adaptive social systems under stress. Furthermore, it contributes to a unified theoretical understanding for optimizing decentralized communication architectures and enhancing institutional strategies for accurate and trustworthy crisis response.

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