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Disaster Response on September 11 2001 Through the Lens ofStatistical Network Analysis

机译:通过2001年9月11日的灾难响应统计网络分析

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摘要

The rescue and relief operations triggered by the September 11, 2001 attacks on the World Trade Center in New York City demanded collaboration among hundreds of organisations. To shed light on the response to the September 11, 2001 attacks and help to plan and prepare the response to future disasters, we study the inter-organisational network that emerged in response to the attacks. Studying the inter-organisational network can help to shed light on whether some organisations dominated the inter-organisational network and facilitated communication and coordination of the disaster response; whether the dominating organisations were supposed to coordinate disaster response or emerged as coordinators in the wake of the disaster; and the degree of network redundancy and sensitivity of the inter-organisational network to disturbances following the initial disaster. We introduce a Bayesian framework which can answer the substantive questions of interest while being as simple and parsimonious as possible. The framework allows organisations to have varying propensities to collaborate, while taking covariates into account, and allows to assess whether the inter-organisational network had network redundancy—in the form of transitivity—by using a test which maybe regarded as a Bayesian score test. We discuss implications in terms ofdisaster management.
机译:由2001年9月11日对纽约世界贸易中心的袭击引发的救援行动需要数百个组织的合作。为了阐明对2001年9月11日攻击的响应并帮助计划和准备对未来灾难的响应,我们研究了针对攻击而出现的组织间网络。对组织间网络的研究有助于阐明某些组织是否主导了组织间网络,并促进了灾害响应的沟通和协调;主导组织是否应该协调灾难响应,还是在灾难发生后成为协调者;以及网络冗余度和组织间网络对最初灾难后的干扰的敏感性。我们引入了一个贝叶斯框架,该框架可以回答感兴趣的实质性问题,同时尽可能简化和简化。该框架允许组织具有不同的协作倾向,同时考虑到协变量,并允许通过使用以下测试来评估组织间网络是否具有网络冗余性(以可传递性的形式)。被视为贝叶斯分数测试。我们从以下方面讨论含义灾害管理。

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