Interactions, Actors, and Time: Dynamic Network Actor Models for Relational Events
Interactions, Actors, and Time: Dynamic Network Actor Models for Relational Events
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DOI：
10.15195/v4.a14
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发表时间：
2017-05-15
影响因子：
3.4
通讯作者：
Block, Per
中科院分区：
文献类型：
--
作者：
Stadtfeld, Christoph;Block, Per
大量关于社交网络的理论研究都或明或暗地地关注人际互动的作用。然而，迄今为止的实证研究大多集中在稳定关系的分析。本文介绍了动态网络行动者模型（dynamic Network Actor Models，DynNAMs），用于研究有指导的人际互动。所提出的模型解决了人际互动的三个重要方面。首先，互动在更大的社会背景下展开，并依赖于社会系统中的复杂结构。第二，互动源于个人，基于个人偏好，受可用互动机会的限制。第三，互动的顺序是动态发展的，互动的时间相对于彼此包含有用的信息。我们把这些方面称为网络性质、行动者导向性质和社会互动的动态性质。案例研究将DyNAM框架与关系事件模型进行了比较，关系事件模型是一种广泛用于研究社交互动数据的统计方法。
Ample theoretical work on social networks is explicitly or implicitly concerned with the role of interpersonal interaction. However, empirical studies to date mostly focus on the analysis of stable relations. This article introduces Dynamic Network Actor Models (DyNAMs) for the study of directed, interpersonal interaction through time. The presented model addresses three important aspects of interpersonal interaction. First, interactions unfold in a larger social context and depend on complex structures in social systems. Second, interactions emanate from individuals and are based on personal preferences, restricted by the available interaction opportunities. Third, sequences of interactions develop dynamically, and the timing of interactions relative to one another contains useful information. We refer to these aspects as the network nature, the actor-oriented nature, and the dynamic nature of social interaction. A case study compares the DyNAM framework to the relational event model, a widely used statistical method for the study of social interaction data.