A widespread perspective describes emotions as distinct categories bridged by fuzzy boundaries, indicating that emotions are distinct and dimensional at the same time. Theoretical and methodological approaches to this perspective still need further development. We conceptualize emotions as overlapping networks of causal relationships between emotion components—networks representing distinct emotions share components with and relate to each other. To investigate this conceptualization, we introduce network analysis to emotion research and apply it to the reanalysis of a data set on multiple positive emotions. Specifically, we describe the estimation of networks from data, and the detection of overlapping communities of nodes in these networks. The network perspective has implications for the understanding of distinct emotions, their co-occurrence, and their measurement.

广泛的观点将情感描述为由模糊边界桥接的不同类别，这表明情感是不同的并且同时存在于维度上。这种观点的理论和方法论方法仍需进一步发展。我们将情感概念化为情感成分之间因果关系的重叠网络-代表不同情感的网络彼此共享成分并相互关联。为了研究这种概念化，我们将网络分析引入情绪研究，并将其应用于对多种积极情绪的数据集的重新分析。具体来说，我们描述了根据数据对网络的估计，以及这些网络中节点的重叠社区的检测。网络角度对于理解不同的情感，它们的共现，