Abstract: To reveal the intrinsic connection between task coupling and organizational collaboration and optimize the efficiency of earthquake disaster emergency response, adopting a network analysis perspective, and focusing on the organizational collaboration logic of earthquake disaster emergency response under task coupling, the information-based collaborative process among organizations was systematically analyzed, and the composition of emergency tasks and the coupling relationships between them was clarified to provide theoretical support and practical reference for improving disaster prevention, reduction, and relief capabilities of emergency organizations as well as their ability to handle emergencies. Taking the 9·5 Luding Earthquake as an example, 32 core emergency tasks were extracted by sorting out the inter-organizational information dissemination texts throughout the emergency response process, a three-layer coupling network of time-task-organization was constructed, and an information-based collaborative analysis framework for emergency organizations was established by combining complex network analysis methods. Emphasis was placed on structural and evolutionary analysis of the time-task network, task-task network, and inter-organizational network under task coupling. The research finds that earthquake disaster emergency tasks exhibit significant phased and functional coupling characteristics; driven by task coupling, the organizational form presents a stable "center-edge" structure, which has strong overall coordination but insufficient active collaboration among edge organizations, results in high collaboration costs and a high risk of information asymmetry. It is necessary to enhance information-based collaborative capabilities among organizations by strengthening priority management of task coupling, promoting the standardization of vertical functional grouping in the emergency command system, building a unified information-sharing platform, and establishing cross-departmental collaborative teams.