论文标题
社交网络上事件时间的诊断和可视化点过程模型
Diagnostics and Visualization of Point Process Models for Event Times on a Social Network
论文作者
论文摘要
点过程模型已用于分析社交网络上的互动事件时间，以期为社会科学研究提供宝贵的见解。但是，这种分析的诊断和可视化结果在文献中获得了有限的讨论。在本文中，我们开发了一组系统的诊断工具和可视化的点过程模型，该工程模型适合来自网络设置的数据。我们通过检查其结构和聚类结构来分析网络上的剩余过程。配备这些工具，我们可以验证模型是否充分捕获了观察到的数据中的时间和/或网络结构。使用模拟研究和应用于动物社交相互作用研究的点过程模型，证明了我们方法的实用性。
Point process models have been used to analyze interaction event times on a social network, in the hope to provides valuable insights for social science research. However, the diagnostics and visualization of the modeling results from such an analysis have received limited discussion in the literature. In this paper, we develop a systematic set of diagnostic tools and visualizations for point process models fitted to data from a network setting. We analyze the residual process and Pearson residual on the network by inspecting their structure and clustering structure. Equipped with these tools, we can validate whether a model adequately captures the temporal and/or network structures in the observed data. The utility of our approach is demonstrated using simulation studies and point process models applied to a study of animal social interactions.
