The Korea Local Administration Review

This study used social network analysis techniques to explore the structural characteristics of inter-local collaborative networks formed during disaster situations, as well as to identify regions that emerge as key actors within these networks. The research methodology involved the calculation of four social network matrices based on the types of mobilized resources. To identify prominent nodes in each model, measures such as degree centrality, closeness centrality, and betweenness centrality were employed. Lastly, the collaborative networks at metropolitan administrative level were visualized and analyzed to identify the role of metropolitan governments in disaster situations. The analysis of inter-local collaborative networks formed during heavy rainfall and typhoon incidents from July to September 2020 revealed that regions tended to strengthen relationships with a small number of key partners rather than establishing various partnerships. Moreover, they preferred to form direct relationships in high-uncertainty situations. The type of resources and geographical distance were identified as variables influencing collaborative relationships. For instance, it was found that collaborative relationships were easily formed for resources with a large amount of possession or easy support, such as relief supplies or donations. Additionally, there was a tendency to prefer nearby regions when selecting collaboration partners.