Parameterized complexity of multi-node hubs

Saket Saurabh, Meirav Zehavi

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Hubs are high-degree nodes within a network, ubiquitous in complex networks such as telecommunication, biological, social and semantic networks. Here, we do not seek a hub that is a single node, but a hub consisting of k nodes. Formally, given a graph G=(V,E), we a seek a set A⊆V of size k that induces a connected subgraph from which at least p edges emanate. Thus, we identify k nodes which can act as a unit (due to the connectivity constraint) that is a hub (due to the cut constraint). This problem, which we call MULTI-NODE HUB (MNH), is a variant of the classic MAX CUT problem. While it is easy to see that MNH is W[1]-hard with respect to the parameter k, our main contribution is a parameterized algorithm that shows that MNH is FPT with respect to the parameter p.

Original languageEnglish
Pages (from-to)64-85
Number of pages22
JournalJournal of Computer and System Sciences
Volume131
DOIs
StatePublished - 1 Feb 2023

Keywords

  • Bisection decomposition
  • Hub
  • Parameterized complexity

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)
  • Computer Networks and Communications
  • Computational Theory and Mathematics
  • Applied Mathematics

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