In disaster response, collaboration facilitates interactions among actors, such as the government, the military, nongovernmental organizations, and civil society organizations. This study examined the longitudinal changes in collaborative governance in Myanmar’s disaster responses based on cases of flooding in 2015, 2016, and 2018. To examine the mechanisms underlying this dynamic network formation, the collaborative ties of the actors involved in search and rescue activities were converted into longitudinal relational data sets, and the evolution of collaborative governance was analyzed by relying on the assumptions of social capital, transaction cost, homophily, and resource dependency theories and using a longitudinal social network analysis method. The findings show that the collaborative networks of search and rescue processes in disaster response evolved and changed over time according to the hypothesized patterns of strong, weak, and preferential tie formations. The study also revealed that the collaborative governance system assumes the form of a hierarchy rather than a generalized exchange, and the actors’ reliance on military organizations is not obvious due to the emerging alternative non-military actors and diverse local actors observed in the cases.

在灾难响应中，合作促进了参与者之间的互动，例如政府，军队，非政府组织和民间社会组织。这项研究基于2015年，2016年和2018年的洪灾案例，研究了缅甸灾害应对中的协作治理的纵向变化。为考察这种动态网络形成的机制，将搜救活动参与者的协作联系进行了转换进入纵向关系数据集，并基于社会资本，交易成本，同质性和资源依赖理论的假设，并使用纵向社会网络分析方法，分析了协作治理的演变。研究结果表明，灾难响应中搜索和救援过程的协作网络根据强势关系，弱势关系和优先关系形成的假设模式随时间演变和变化。该研究还表明，协作治理系统采取等级制而不是广义交换的形式，而且由于案件中出现了替代性的非军事行动者和各种地方行动者，因此行动者对军事组织的依赖并不明显。