On finding separators in temporal split and permutation graphs

IF 1.1 3区 计算机科学 Q1 BUSINESS, FINANCE Journal of Computer and System Sciences Pub Date : 2023-08-01 DOI:10.1016/j.jcss.2023.01.004
Nicolas Maack , Hendrik Molter , Rolf Niedermeier , Malte Renken
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Abstract

We study the NP-hard Temporal (s,z)-Separation problem on temporal graphs, which are graphs with fixed vertex sets but edge sets that change over discrete time steps. We tackle Temporal (s,z)-Separation by restricting the layers (i.e., graphs characterized by edges that are present at a certain point in time) to specific graph classes. We restrict the layers of the temporal graphs to be either all split graphs or all permutation graphs (both being perfect graph classes) and provide both intractability and tractability results. In particular, we show that in general Temporal (s,z)-Separation remains NP-hard both on temporal split and temporal permutation graphs, but we also spot promising islands of fixed-parameter tractability particularly based on parameterizations that measure the amount of “change over time”.

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关于在时间分裂图和置换图中寻找分隔符
我们研究了时态图上的NP难时态(s,z)-分离问题,时态图是具有固定顶点集但边集随离散时间步长变化的图。我们通过将层(即,以某个时间点存在的边为特征的图)限制到特定的图类来处理时态(s,z)-分离。我们将时间图的层限制为全分裂图或全置换图(两者都是完美图类),并提供难处理性和易处理性结果。特别是,我们表明,在一般情况下,时间(s,z)-分离在时间分裂图和时间排列图上都是NP困难的,但我们也发现了固定参数可处理性的有希望的岛屿,特别是基于测量“随时间变化”量的参数化。
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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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