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Meetings as Networks: Applying Social Network Analysis to Team Interaction

机译:作为网络的会议:将社交网络分析应用于团队互动

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摘要

In recent decades, social network researchers have focused on analyzing networks of formal relationships (e.g., friendships). However, this work has yet to be applied to distributions of participation in small groups. This article provides an application of social network analysis to small group interaction and illustrates the approach through the analysis of 54 team meetings in two medium-sized German companies from the electrical and automotive supply industries (N = 332). Within a group interaction process, individual actions affect subsequent behavior, and their interactions shape a network when group members respond to previous actions. Their responses can be understood as network ties. We describe how to calculate centralization for all forms of small group interactions, and contribute to network research by providing insights into the interaction structure of team meetings. Multilevel analyses show that a group-level measure of centralization has a significant negative effect on team performance, whereas individual participation has no such effect. Implications for future research on interaction data via social network analysis are discussed.
机译:近几十年来,社交网络研究人员致力于分析正式关系(例如,友谊)的网络。但是,这项工作尚未应用于小组中的参与分配。本文提供了社交网络分析在小组互动中的应用,并通过分析来自电气和汽车供应行业(N = 332)的两家中型德国公司中的54次团队会议,说明了该方法。在小组互动过程中,单个动作会影响后续行为,当小组成员响应先前的动作时,它们的互动会形成网络。他们的反应可以理解为网络联系。我们描述了如何计算所有形式的小组互动的集中度,并通过提供对团队会议的互动结构的见解来促进网络研究。多层次分析表明,集中度的组级别度量对团队绩效有显着的负面影响,而个人参与则没有这种影响。讨论了对未来通过社交网络分析进行交互数据研究的意义。

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