Lassa Jonatan A
Nanyang Technological University.
PLoS Curr. 2015 Jul 1;7:ecurrents.4f7972ecec1b6. doi: 10.1371/4f7972ecec1b6.
This research aims to understand the organizational network typology of large--scale disaster intervention in developing countries and to understand the complexity of post--disaster intervention, through the use of network theory based on empirical data from post--tsunami reconstruction in Aceh, Indonesia, during 2005/-2007. The findings suggest that the ' degrees of separation' (or network diameter) between any two organizations in the field is 5, thus reflecting 'small- world' realities and therefore making no significant difference with the real human networks, as found in previous experiments. There are also significant loops in the network reflecting the fact that some actors tend to not cooperate, which challenges post- disaster coordination. The findings show the landscape of humanitarian actors is not randomly distributed. Many actors were connected to each other through certain hubs, while hundreds of actors make 'scattered' single 'principal--client' links. The paper concludes that by understanding the distribution of degree, centrality, 'degrees of separation' and visualization of the network, authorities can improve their understanding of the realities of coordination, from macro to micro scales.
本研究旨在通过运用基于2005年至2007年印度尼西亚亚齐海啸后重建的实证数据的网络理论,了解发展中国家大规模灾害干预的组织网络类型,并理解灾后干预的复杂性。研究结果表明,该领域中任意两个组织之间的“分隔度”(或网络直径)为5,这反映了“小世界”现实,因此与先前实验中发现的真实人际网络并无显著差异。网络中还存在显著的回路,这反映出一些行为体往往不合作,这对灾后协调构成了挑战。研究结果表明,人道主义行为体的格局并非随机分布。许多行为体通过某些枢纽相互连接,而数百个行为体形成“分散”的单一“主 - 客”联系。本文得出结论,通过了解网络的度分布、中心性、“分隔度”和可视化,当局能够从宏观到微观尺度更好地理解协调的现实情况。