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arXiv · 2302.14213

Crossing Minimization in Time Interval Storylines

Alexander Dobler·Martin Nöllenburg·Daniel Stojanovic·Anaïs Villedieu·Jules Wulms
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Abstract

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.

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Alexander Dobler, Martin Nöllenburg, Daniel Stojanovic, Anaïs Villedieu, Jules Wulms. 2023-02-28. Crossing Minimization in Time Interval Storylines. https://arxiv.org/abs/2302.14213

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