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首页> 外文期刊>Organizational psychology review >Extending dynamic network theory to group and social interaction analysis: Uncovering key behavioral elements, cycles, and emergent states
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Extending dynamic network theory to group and social interaction analysis: Uncovering key behavioral elements, cycles, and emergent states

机译：将动态网络理论扩展到群体和社会互动分析：发现关键的行为要素，周期和紧急状态

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This article proposes a markedly new conceptual approach to group and social interaction analysis, grounded in transformative advances in dynamic network theory. The framework first theoretically identifies the small set of behavioral elements that can be influential across social contexts. Example behavioral elements include goal striving to advance a communication or viewpoint, system supporting of others, goal preventing, and affect-based system negating. The framework distinctively allows researchers to simultaneously combine the elements to explain complex units, such as a person disagreeing with another (goal prevention), but in a warm and caring way (system support). The approach also provides new insight into how behavioral elements elapse over time, such as our distinct characterization of support cycles (e.g., reinforcement, comfort, and submissive) and conflict cycles (e.g., basic, heated, and acidic). The approach uniquely demonstrates how lower-level behavioral elements can be used to predict higher-level emergent states and climates, such as hostile climates.
机译：本文基于动态网络理论的变革性进展，提出了一种针对群体和社会互动分析的全新概念方法。该框架首先从理论上确定了可以在整个社会环境中产生影响的少量行为要素。行为要素示例包括努力促进沟通或观点的目标，他人的系统支持，目标的预防以及基于情感的系统否定。该框架的独特之处在于，研究人员可以同时结合各种要素来解释复杂的单元，例如一个人不同意另一个目标（目标预防），但以热情和关怀的方式（系统支持）。该方法还为行为元素如何随时间流逝提供了新的见解，例如我们对支撑周期（例如，增强，舒适和顺从）和冲突周期（例如，基本，加热和酸性）的独特描述。该方法独特地演示了如何使用较低级别的行为要素来预测较高级别的紧急状态和气候，例如敌对气候。

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