在被破坏的环境中建模复杂的相互作用:WTC响应中的关系事件

IF 1.4 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY Network Science Pub Date : 2023-04-18 DOI:10.1017/nws.2023.4
Scott Leo Renshaw, Selena M. Livas, Miruna G. Petrescu-Prahova, Carter T. Butts
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引用次数: 0

摘要

当受到突然的、意想不到的威胁时,人类群体的特征是自组织识别威胁,确定潜在的反应,并采取行动减少其影响。这一进程的核心是在混乱的环境中协调信息共享和反应活动的挑战。在本文中,我们考虑协调在响应2001年世界贸易中心(WTC)灾难的背景下。利用17个组织单位之间的通信记录,我们研究了驱动通信动态的机制,重点是协调角色的出现。我们使用关系事件模型(REMs)来确定每个单元中形成通信的机制,找到具有非常不同特征的单元之间一致的行为模式。通过基于模拟的“淘汰”研究,我们还探讨了轮毂形成的不同机制的重要性。我们的研究结果表明,虽然优先依恋和灾前角色结构通常有助于中心结构的出现,但在世贸组织的情况下,暂时的本地会话规范发挥了更大的作用。我们讨论了微动力学在驱动宏观结果中的作用的更广泛的含义,以及在其他环境中协调的出现。
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Modeling complex interactions in a disrupted environment: Relational events in the WTC response
Abstract When subjected to a sudden, unanticipated threat, human groups characteristically self-organize to identify the threat, determine potential responses, and act to reduce its impact. Central to this process is the challenge of coordinating information sharing and response activity within a disrupted environment. In this paper, we consider coordination in the context of responses to the 2001 World Trade Center (WTC) disaster. Using records of communications among 17 organizational units, we examine the mechanisms driving communication dynamics, with an emphasis on the emergence of coordinating roles. We employ relational event models (REMs) to identify the mechanisms shaping communications in each unit, finding a consistent pattern of behavior across units with very different characteristics. Using a simulation-based “knock-out” study, we also probe the importance of different mechanisms for hub formation. Our results suggest that, while preferential attachment and pre-disaster role structure generally contribute to the emergence of hub structure, temporally local conversational norms play a much larger role in the WTC case. We discuss broader implications for the role of microdynamics in driving macroscopic outcomes, and for the emergence of coordination in other settings.
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来源期刊
Network Science
Network Science SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
3.50
自引率
5.90%
发文量
24
期刊介绍: Network Science is an important journal for an important discipline - one using the network paradigm, focusing on actors and relational linkages, to inform research, methodology, and applications from many fields across the natural, social, engineering and informational sciences. Given growing understanding of the interconnectedness and globalization of the world, network methods are an increasingly recognized way to research aspects of modern society along with the individuals, organizations, and other actors within it. The discipline is ready for a comprehensive journal, open to papers from all relevant areas. Network Science is a defining work, shaping this discipline. The journal welcomes contributions from researchers in all areas working on network theory, methods, and data.
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