{"title":"图的子结构连通性和限制连通性的复杂性","authors":"Huazhong Lü , Tingzeng Wu","doi":"10.1016/j.jpdc.2026.105237","DOIUrl":null,"url":null,"abstract":"<div><div>The connectivity of a graph is an important parameter to evaluate its reliability. <em>k</em>-restricted connectivity (resp. <em>R<sup>h</sup></em>-restricted connectivity) of a graph <em>G</em> is the minimum cardinality of a set <em>S</em> of vertices in <em>G</em>, if exists, whose deletion disconnects <em>G</em> and leaves each component of <span><math><mrow><mi>G</mi><mo>−</mo><mi>S</mi></mrow></math></span> with more than <em>k</em> vertices (resp. <span><math><mrow><mi>δ</mi><mo>(</mo><mi>G</mi><mo>−</mo><mi>S</mi><mo>)</mo><mo>≥</mo><mi>h</mi></mrow></math></span>). In contrast, structure (substructure) connectivity of <em>G</em> is defined as the minimum number of vertex-disjoint subgraphs whose deletion disconnects <em>G</em>. As generalizations of the concept of connectivity, structure (substructure) connectivity, restricted connectivity and <em>R<sup>h</sup></em>-restricted connectivity have been extensively studied from the combinatorial point of view. Very little is known about the computational complexity of these variants, except for the recently established NP-completeness of <em>k</em>-restricted edge-connectivity. In this paper, we prove that the problems of determining structure, substructure, restricted, and <em>R<sup>h</sup></em>-restricted connectivity are all NP-complete.</div></div>","PeriodicalId":54775,"journal":{"name":"Journal of Parallel and Distributed Computing","volume":"211 ","pages":"Article 105237"},"PeriodicalIF":3.4000,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On complexity of substructure connectivity and restricted connectivity of graphs\",\"authors\":\"Huazhong Lü , Tingzeng Wu\",\"doi\":\"10.1016/j.jpdc.2026.105237\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The connectivity of a graph is an important parameter to evaluate its reliability. <em>k</em>-restricted connectivity (resp. <em>R<sup>h</sup></em>-restricted connectivity) of a graph <em>G</em> is the minimum cardinality of a set <em>S</em> of vertices in <em>G</em>, if exists, whose deletion disconnects <em>G</em> and leaves each component of <span><math><mrow><mi>G</mi><mo>−</mo><mi>S</mi></mrow></math></span> with more than <em>k</em> vertices (resp. <span><math><mrow><mi>δ</mi><mo>(</mo><mi>G</mi><mo>−</mo><mi>S</mi><mo>)</mo><mo>≥</mo><mi>h</mi></mrow></math></span>). In contrast, structure (substructure) connectivity of <em>G</em> is defined as the minimum number of vertex-disjoint subgraphs whose deletion disconnects <em>G</em>. As generalizations of the concept of connectivity, structure (substructure) connectivity, restricted connectivity and <em>R<sup>h</sup></em>-restricted connectivity have been extensively studied from the combinatorial point of view. Very little is known about the computational complexity of these variants, except for the recently established NP-completeness of <em>k</em>-restricted edge-connectivity. In this paper, we prove that the problems of determining structure, substructure, restricted, and <em>R<sup>h</sup></em>-restricted connectivity are all NP-complete.</div></div>\",\"PeriodicalId\":54775,\"journal\":{\"name\":\"Journal of Parallel and Distributed Computing\",\"volume\":\"211 \",\"pages\":\"Article 105237\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2026-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Parallel and Distributed Computing\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0743731526000158\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2026/2/5 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, THEORY & METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Parallel and Distributed Computing","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0743731526000158","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/5 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
On complexity of substructure connectivity and restricted connectivity of graphs
The connectivity of a graph is an important parameter to evaluate its reliability. k-restricted connectivity (resp. Rh-restricted connectivity) of a graph G is the minimum cardinality of a set S of vertices in G, if exists, whose deletion disconnects G and leaves each component of with more than k vertices (resp. ). In contrast, structure (substructure) connectivity of G is defined as the minimum number of vertex-disjoint subgraphs whose deletion disconnects G. As generalizations of the concept of connectivity, structure (substructure) connectivity, restricted connectivity and Rh-restricted connectivity have been extensively studied from the combinatorial point of view. Very little is known about the computational complexity of these variants, except for the recently established NP-completeness of k-restricted edge-connectivity. In this paper, we prove that the problems of determining structure, substructure, restricted, and Rh-restricted connectivity are all NP-complete.
期刊介绍:
This international journal is directed to researchers, engineers, educators, managers, programmers, and users of computers who have particular interests in parallel processing and/or distributed computing.
The Journal of Parallel and Distributed Computing publishes original research papers and timely review articles on the theory, design, evaluation, and use of parallel and/or distributed computing systems. The journal also features special issues on these topics; again covering the full range from the design to the use of our targeted systems.