团队如何适应外部冲击:核心成员节点敲除的实验证据

IF 1.4 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY
Jared F. Edgerton, S. Cranmer, V. Finomore
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引用次数: 1

摘要

摘要研究人员发现,尽管外部攻击、外部冲击和节点敲除可以破坏网络系统,但它们很少导致系统崩溃。尽管这些过程被广泛理解,但大多数关于外部冲击如何影响网络的研究都依赖于模拟或观测数据。因此,人们对真实的个体群体如何应对外部攻击知之甚少。在这篇文章中,我们采用了一种实验设计,以意外移除队友的形式,将外源性冲击强加给相互认识的小组。这使我们能够因果地确定被移除的个人对团队结构的贡献,个人对他们所联系的人的影响,以及节点淘汰对团队的影响。在团队层面,我们发现节点淘汰会降低团队内部的整体沟通。在个人层面上,我们发现节点淘汰会导致剩余的有影响力的球员变得更有影响力,而剩余的外围球员在团队中变得更加孤立。此外,我们还发现节点淘汰赛可能对团队表现有名义上的影响。这些发现揭示了团队如何应对和适应节点淘汰。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How teams adapt to exogenous shocks: Experimental evidence with node knockouts of central members
Abstract Researchers have found that although external attacks, exogenous shocks, and node knockouts can disrupt networked systems, they rarely lead to the system’s collapse. Although these processes are widely understood, most studies of how exogenous shocks affect networks rely on simulated or observational data. Thus, little is known about how groups of real individuals respond to external attacks. In this article, we employ an experimental design in which exogenous shocks, in the form of the unexpected removal of a teammate, are imposed on small teams of people who know each other. This allows us to causally identify the removed individual’s contribution to the team structure, the effect that an individual had on those they were connected, and the effect of the node knockout on the team. At the team level, we find that node knockouts decrease overall internal team communication. At the individual level, we find that node knockouts cause the remaining influential players to become more influential, while the remaining peripheral players become more isolated within their team. In addition, we also find that node knockouts may have a nominal influence on team performance. These findings shed light on how teams respond and adapt to node knockouts.
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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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