Cluster Editing Parameterized above Modification-disjoint P 3 -packings

Author:

Li Shaohua1ORCID,Pilipczuk Marcin1ORCID,Sorge Manuel2ORCID

Affiliation:

1. Institute of Informatics, University of Warsaw, Poland

2. University of Warsaw, Poland and TU Wien, Austria

Abstract

Given a graph G =( V,E ) and an integer k , the Cluster Editing problem asks whether we can transform  G into a union of vertex-disjoint cliques by at most k modifications (edge deletions or insertions). In this paper, we study the following variant of Cluster Editing . We are given a graph G = ( V,E ), a packing ℋ of modification-disjoint induced P 3 s (no pair of P 3 s in ℋ share an edge or non-edge) and an integer ℓ. The task is to decide whether G can be transformed into a union of vertex-disjoint cliques by at most ℓ +|ℋ| modifications (edge deletions or insertions). We show that this problem is NP-hard even when ℓ = 0 (in which case the problem asks to turn G into a disjoint union of cliques by performing exactly one edge deletion or insertion per element of ℋ) and when each vertex is in at most 23 P 3 s of the packing. This answers negatively a question of van Bevern, Froese, and Komusiewicz (CSR 2016, ToCS 2018), repeated by C. Komusiewicz at Shonan meeting no. 144 in March 2019. We then initiate the study to find the largest integer c such that the problem remains tractable when restricting to packings such that each vertex is in at most c packed P 3 s. Here packed P 3 s are those belonging to the packing ℋ. Van Bevern et al. showed that the case c = 1 is fixed-parameter tractable with respect to ℓ and we show that the case c = 2 is solvable in | V | 2ℓ + O (1)  time.

Funder

European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme

Publisher

Association for Computing Machinery (ACM)

Subject

Mathematics (miscellaneous)

Reference45 articles.

1. Aggregating inconsistent information

2. Branch-and-reduce exponential/FPT algorithms in practice: A case study of vertex cover

3. Quadratic forms on graphs;Alon Noga;Inventiones Mathematicae,2006

4. On non-approximability for quadratic programs;Arora Sanjeev;Electronic Colloquium on Computational Complexity (ECCC),2005

5. Correlation Clustering

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3