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Modeling Interaction in Collaborative Groups: Affect Control Within Social Structure
Journal of Artificial Societies and Social Simulation ( IF 3.506 ) Pub Date : 2021-01-01 , DOI: 10.18564/jasss.4699
Nikolas Zöller , Jonathan H. Morgan , Tobias Schröder

This paper studies the dynamics of identity and status management within groups in collaborative settings. We present an agent-based simulation model for group interaction rooted in social psychological theory. The model integrates a ect control theory with networked interaction structures and sequential behavior protocols as they are o en encountered in task groups. By expressing status hierarchy through network structure, we build a bridge between expectation states theory and a ect control theory, and are able to reproduce central results from the expectation states research program in sociological social psychology. Furthermore, we demonstrate how themodel can be applied to analyze specialized task groups or sub-cultural domains by combining it with empirical data sources. As an example, we simulate groups of open-source so ware developers and analyze how cultural expectations influence the occupancy of high status positions in these groups.

中文翻译:

建模协作组中的交互:社会结构内的影响控制

本文研究了协作环境中群体内身份和状态管理的动态。我们提出了一种基于代理的模拟模型,用于植根于社会心理学理论的群体互动。该模型将 ect 控制理论与网络交互结构和顺序行为协议相结合,因为它们在任务组中经常遇到。通过网络结构表达状态等级,我们在期望状态理论和影响控制理论之间架起了一座桥梁,并能够再现社会学社会心理学中期望状态研究计划的核心成果。此外,我们展示了如何通过将模型与经验数据源相结合,将该模型应用于分析专门的任务组或亚文化领域。举个例子,
更新日期:2021-01-01
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