{"title":"距离与传递性:驯服时态图中可达性的新参数","authors":"Arnaud Casteigts, Nils Morawietz, Petra Wolf","doi":"arxiv-2406.19514","DOIUrl":null,"url":null,"abstract":"A temporal graph is a graph whose edges only appear at certain points in\ntime. Reachability in these graphs is defined in terms of paths that traverse\nthe edges in chronological order (temporal paths). This form of reachability is\nneither symmetric nor transitive, the latter having important consequences on\nthe computational complexity of even basic questions, such as computing\ntemporal connected components. In this paper, we introduce several parameters\nthat capture how far a temporal graph $\\mathcal{G}$ is from being transitive,\nnamely, \\emph{vertex-deletion distance to transitivity} and\n\\emph{arc-modification distance to transitivity}, both being applied to the\nreachability graph of $\\mathcal{G}$. We illustrate the impact of these\nparameters on the temporal connected component problem, obtaining several\ntractability results in terms of fixed-parameter tractability and polynomial\nkernels. Significantly, these results are obtained without restrictions of the\nunderlying graph, the snapshots, or the lifetime of the input graph. As such,\nour results isolate the impact of non-transitivity and confirm the key role\nthat it plays in the hardness of temporal graph problems.","PeriodicalId":501024,"journal":{"name":"arXiv - CS - Computational Complexity","volume":"66 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distance to Transitivity: New Parameters for Taming Reachability in Temporal Graphs\",\"authors\":\"Arnaud Casteigts, Nils Morawietz, Petra Wolf\",\"doi\":\"arxiv-2406.19514\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A temporal graph is a graph whose edges only appear at certain points in\\ntime. Reachability in these graphs is defined in terms of paths that traverse\\nthe edges in chronological order (temporal paths). This form of reachability is\\nneither symmetric nor transitive, the latter having important consequences on\\nthe computational complexity of even basic questions, such as computing\\ntemporal connected components. In this paper, we introduce several parameters\\nthat capture how far a temporal graph $\\\\mathcal{G}$ is from being transitive,\\nnamely, \\\\emph{vertex-deletion distance to transitivity} and\\n\\\\emph{arc-modification distance to transitivity}, both being applied to the\\nreachability graph of $\\\\mathcal{G}$. We illustrate the impact of these\\nparameters on the temporal connected component problem, obtaining several\\ntractability results in terms of fixed-parameter tractability and polynomial\\nkernels. Significantly, these results are obtained without restrictions of the\\nunderlying graph, the snapshots, or the lifetime of the input graph. As such,\\nour results isolate the impact of non-transitivity and confirm the key role\\nthat it plays in the hardness of temporal graph problems.\",\"PeriodicalId\":501024,\"journal\":{\"name\":\"arXiv - CS - Computational Complexity\",\"volume\":\"66 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Computational Complexity\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2406.19514\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Computational Complexity","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2406.19514","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
时序图是一种边只在特定时间点出现的图。这些图中的可达性是根据按时间顺序遍历边的路径(时间路径)来定义的。这种形式的可达性既不是对称的,也不是传递的,后者甚至对计算时空连接成分等基本问题的计算复杂性都有重要影响。在本文中,我们引入了几个参数来捕捉时空图 $\mathcal{G}$ 距离传递性有多远,即 \emph{vertex-deletion distance to transitivity} 和 \emph{arc-modification distance to transitivity},这两个参数都应用于 $\mathcal{G}$ 的可达性图。我们说明了这些参数对时间连通分量问题的影响,并从固定参数可计算性和多项式核的角度得到了几个可计算性结果。值得注意的是,这些结果的获得不受底层图、快照或输入图生命周期的限制。因此,我们的结果隔离了非传递性的影响,并证实了它在时序图问题的难易程度中扮演的关键角色。
Distance to Transitivity: New Parameters for Taming Reachability in Temporal Graphs
A temporal graph is a graph whose edges only appear at certain points in
time. Reachability in these graphs is defined in terms of paths that traverse
the edges in chronological order (temporal paths). This form of reachability is
neither symmetric nor transitive, the latter having important consequences on
the computational complexity of even basic questions, such as computing
temporal connected components. In this paper, we introduce several parameters
that capture how far a temporal graph $\mathcal{G}$ is from being transitive,
namely, \emph{vertex-deletion distance to transitivity} and
\emph{arc-modification distance to transitivity}, both being applied to the
reachability graph of $\mathcal{G}$. We illustrate the impact of these
parameters on the temporal connected component problem, obtaining several
tractability results in terms of fixed-parameter tractability and polynomial
kernels. Significantly, these results are obtained without restrictions of the
underlying graph, the snapshots, or the lifetime of the input graph. As such,
our results isolate the impact of non-transitivity and confirm the key role
that it plays in the hardness of temporal graph problems.