关于故事计划问题的复杂性

IF 1.1 3区 计算机科学 Q1 BUSINESS, FINANCE
Carla Binucci , Emilio Di Giacomo , William J. Lenhart , Giuseppe Liotta , Fabrizio Montecchiani , Martin Nöllenburg , Antonios Symvonis
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引用次数: 0

摘要

我们研究了将图表示为故事计划的问题,这是最近引入的动态图可视化模型。它基于一系列帧,每个帧显示一个子集的顶点及其诱导子图的平面图,其中顶点随时间出现和消失。也就是说,在故事计划问题中,我们得到了一个图,我们想决定是否存在故事计划存在的总顶点出现顺序。我们证明了这个问题是NP完全的,并用两个参数化算法来补充这个硬度,一个在输入图的顶点覆盖数中,另一个在反馈边集数中。我们证明了部分3树总是允许一个故事计划,它可以在线性时间内计算。最后,我们证明了如果给定顶点出现顺序,并且我们必须选择如何绘制框架,那么问题仍然是NP完全的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the complexity of the storyplan problem

We study the problem of representing a graph as a storyplan, a recently introduced model for dynamic graph visualization. It is based on a sequence of frames, each showing a subset of vertices and a planar drawing of their induced subgraphs, where vertices appear and disappear over time. Namely, in the StoryPlan problem, we are given a graph and we want to decide whether there exists a total vertex appearance order for which a storyplan exists. We prove that the problem is NP-complete, and complement this hardness with two parameterized algorithms, one in the vertex cover number and one in the feedback edge set number of the input graph. We prove that partial 3-trees always admit a storyplan, which can be computed in linear time. Finally, we show that the problem remains NP-complete if the vertex appearance order is given and we have to choose how to draw the frames.

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来源期刊
Journal of Computer and System Sciences
Journal of Computer and System Sciences 工程技术-计算机:理论方法
CiteScore
3.70
自引率
0.00%
发文量
58
审稿时长
68 days
期刊介绍: The Journal of Computer and System Sciences publishes original research papers in computer science and related subjects in system science, with attention to the relevant mathematical theory. Applications-oriented papers may also be accepted and they are expected to contain deep analytic evaluation of the proposed solutions. Research areas include traditional subjects such as: • Theory of algorithms and computability • Formal languages • Automata theory Contemporary subjects such as: • Complexity theory • Algorithmic Complexity • Parallel & distributed computing • Computer networks • Neural networks • Computational learning theory • Database theory & practice • Computer modeling of complex systems • Security and Privacy.
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