时间间隔故事情节中的交叉最小化
Crossing Minimization in Time Interval Storylines
摘要：
故事情节可视化是一种随时间推移可视化角色及其交互的流行方式：角色被绘制为x单调曲线，交互通过垂直条带中的对应角色曲线的紧密接近来可视化。生成故事情节的现有方法假设交互的总顺序，尽管现实世界的数据通常不包含这样的总顺序。相反，多个相互作用通常被分组为更粗略的时间间隔，如年。我们利用这种分组属性，通过引入一个新的模型称为故事情节的时间间隔，并提出了两种方法，以尽量减少交叉点和水平空间的使用。然后，我们评估这些算法在一个小的基准集，以显示其有效性。
英文摘要：
Storyline visualizations are a popular way of visualizing characters and their interactions over time: Characters are drawn as x-monotone curves and interactions are visualized through close proximity of the corresponding character curves in a vertical strip. Existing methods to generate storylines assume a total ordering of the interactions, although real-world data often do not contain such a total order. Instead, multiple interactions are often grouped into coarser time intervals such as years. We exploit this grouping property by introducing a new model called storylines with time intervals and present two methods to minimize the number of crossings and horizontal space usage. We then evaluate these algorithms on a small benchmark set to show their effectiveness.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
