A new temporal interpretation of cluster editing

IF 1.1 3区 计算机科学 Q1 BUSINESS, FINANCE
Cristiano Bocci , Chiara Capresi , Kitty Meeks , John Sylvester
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引用次数: 0

Abstract

The NP-complete graph problem Cluster Editing seeks to transform a static graph into a disjoint union of cliques by making the fewest possible edits to the edges. We introduce a natural interpretation of this problem in temporal graphs, whose edge sets change over time. This problem is NP-complete even when restricted to temporal graphs whose underlying graph is a path, but we obtain two polynomial-time algorithms for restricted cases. In the static setting, it is well-known that a graph is a disjoint union of cliques if and only if it contains no induced copy of P3; we demonstrate that no general characterisation involving sets of at most four vertices can exist in the temporal setting, but obtain a complete characterisation involving forbidden configurations on at most five vertices. This characterisation gives rise to an FPT algorithm parameterised simultaneously by the permitted number of modifications and the lifetime of the temporal graph.

集群编辑的新时间解释
簇编辑(Cluster Editing)是一个 NP-complete(NP-complete)图问题,旨在通过对边进行尽可能少的编辑,将静态图转化为簇的不相邻联盟。我们在时间图中引入了对这一问题的自然解释,因为时间图的边集是随时间变化的。即使仅限于底层图为路径的时序图,这个问题也是 NP-完全的,但我们获得了两种针对受限情况的多项式时间算法。在静态设置中,众所周知,当且仅当一个图不包含 P3 的诱导副本时,它就是一个小群的不相交联盟;我们证明了在时间设置中不可能存在涉及最多四个顶点集的一般特征,但得到了涉及最多五个顶点上的禁止配置的完整特征。这种特性化产生了一种 FPT 算法,它同时以允许的修改次数和时序图的生命周期为参数。
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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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