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Erschienen in:
2015 | OriginalPaper | Buchkapitel
On Minimizing Crossings in Storyline Visualizations
verfasst von : Irina Kostitsyna, Martin Nöllenburg, Valentin Polishchuk, André Schulz, Darren Strash
Erschienen in: Graph Drawing and Network Visualization
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Abstract
In a storyline visualization, we visualize a collection of interacting characters (e.g., in a movie, play, etc.) by x-monotone curves that converge for each interaction, and diverge otherwise. Given a storyline with n characters, we show tight lower and upper bounds on the number of crossings required in any storyline visualization for a restricted case. In particular, we show that if (1) each meeting consists of exactly two characters and (2) the meetings can be modeled as a tree, then we can always find a storyline visualization with \(O(n\log n)\) crossings. Furthermore, we show that there exist storylines in this restricted case that require \(\varOmega (n\log n)\) crossings. Lastly, we show that, in the general case, minimizing the number of crossings in a storyline visualization is fixed-parameter tractable, when parameterized on the number of characters k. Our algorithm runs in time \(O(k!^2k\log k + k!^2m)\), where m is the number of meetings.