We present the design and evaluation of HyperStorylines, a technique that generalizes Storylines to visualize the evolution of relationships involving multiple types of entities such as, for example, people, locations, and companies. Datasets which describe such multi-entity relationships are often modeled as hypergraphs, that can be difficult to visualize, especially when these relationships evolve over time. HyperStorylines builds upon Storylines, enabling the aggregation and nesting of these dynamic, multi-entity relationships. We report on the design process of HyperStorylines, which was informed by discussions and workshops with data journalists; and on the results of a comparative study in which participants had to answer questions inspired by the tasks that journalists typically perform with such data. We observe that although HyperStorylines takes some practice to master, it performs better for identifying and characterizing relationships than the selected baseline visualization (PAOHVis) and was preferred overall.

我们介绍了 HyperStorylines 的设计和评估，这是一种概括 Storylines 以可视化涉及多种类型实体（例如人员、地点和公司）的关系演变的技术。描述这种多实体关系的数据集通常被建模为超图，这可能很难可视化，尤其是当这些关系随着时间的推移而演变时。HyperStorylines 建立在 Storylines 之上，能够聚合和嵌套这些动态的多实体关系。我们报告了 HyperStorylines 的设计过程，这是通过与数据记者的讨论和研讨会获得的信息；以及一项比较研究的结果，参与者必须回答受记者通常使用此类数据执行的任务启发的问题。