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Social network analysis as a metric for the development of an interdisciplinary, inter-organizational research team

机译:社交网络分析作为跨学科,组织间研究团队发展的指标

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The development of an interdisciplinary and inter-organizational research team among eight of Canada's leading emergency, geriatric medicine and rehabilitation researchers affiliated with six academic centers has provided an opportunity to study the development of a distributed team of interdisciplinary researchers using the methods of social network theory and analysis and to consider whether these methods are useful tools in the science of team science. Using traditional network analytic methods, the team of investigators were asked to rate their relationships with one another retrospectively at one year prior to the team's first meeting and contemporaneously at two subsequent yearly intervals. Using network analytic statistics and visualizations the data collected finds an increase in network density and reciprocity of relationships together with more distributed centrality consistent with the findings of other researchers. These network development characteristics suggest that the distributed research team is developing as it should and supports the assertion that network analysis is a useful science of team science research tool.
机译:由六个学术中心组成的加拿大八名领先的急诊,老年医学和康复研究人员中的跨学科和组织间研究团队的发展提供了使用社交网络理论方法研究跨学科研究者分布式团队发展的机会分析,并考虑这些方法是否在团队科学中有用。使用传统的网络分析方法,要求调查团队在团队第一次会议召开之前的一年中进行回顾性评价,并在随后的两个年度间隔中进行评价。使用网络分析统计数据和可视化,收集到的数据发现网络密度和关系的互易性增加,并且分布中心性增加,这与其他研究人员的发现一致。这些网络发展特征表明,分布式研究团队正在按其应有的方式发展,并支持网络分析是团队科学研究工具的有用科学这一主张。

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