We estimated a network model of trait affect to examine the pattern of associations between emotions. We reasoned that more independence across valences (e.g., enthusiastic-upset) and within valence (e.g., distressed-afraid) would represent a more adaptive affective structure characterized by greater emotion differentiation. The network structure was expected to vary as a function of effortful control and reactivity. We hypothesized effortful control would be associated with weaker associations between and within emotional valences and reactivity would be associated with stronger associations between and within emotional valences (less complexity). Hypotheses were partially supported in a cross-sectional study of 403 young adults. Findings indicated that low effortful control (e.g., low planning and problem solving) was related to stronger associations between emotional valences and reactivity (e.g., impulsivity, distractibility) was associated with stronger associations between negative emotions. This pattern of findings is consistent with a conceptualization of self-regulation characterized by more complex and unique emotional experiences. Unexpectedly, reactivity was associated with lower associations between positive emotions. These mixed findings give a preliminary window into the ways in which the structure of affect varies as a function of two important dimensions of self-regulation.

我们估计了一个特质影响的网络模型来检查情绪之间的关联模式。我们推断，跨价（例如，热情-沮丧）和在价内（例如，害怕-害怕）的更多独立性将代表更具适应性的情感结构，其特征是更大的情绪分化。预计网络结构会随着努力控制和反应性的变化而变化。我们假设努力控制将与情绪效价之间和内部的较弱关联相关联，而反应性将与情绪效价之间和内部的更强关联相关联（复杂性较低）。一项对 403 名年轻人的横断面研究部分支持了假设。结果表明，低努力控制（例如，低计划和解决问题）与情绪效价之间更强的关联相关，反应性（例如，冲动、注意力分散）与负面情绪之间更强的关联相关。这种发现模式与以更复杂和独特的情感体验为特征的自我调节概念一致。出乎意料的是，反应性与积极情绪之间的关联较低有关。这些混合的发现为了解情感结构作为自我调节的两个重要维度的函数而变化的方式提供了一个初步的窗口。这种发现模式与以更复杂和独特的情感体验为特征的自我调节概念一致。出乎意料的是，反应性与积极情绪之间的关联较低有关。这些混合的发现为了解情感结构作为自我调节的两个重要维度的函数而变化的方式提供了一个初步的窗口。这种发现模式与以更复杂和独特的情感体验为特征的自我调节概念一致。出乎意料的是，反应性与积极情绪之间的关联较低有关。这些混合的发现为了解情感结构作为自我调节的两个重要维度的函数而变化的方式提供了一个初步的窗口。