Nearly Optimal Local Algorithms for Constructing Sparse Spanners of Clusterable Graphs

Reut Levi, Moti Medina, Omer Tubul

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we study the problem of locally constructing a sparse spanning subgraph (LSSG), introduced by Levi, Ron, and Rubinfeld (ALGO’20). In this problem, the goal is to locally decide for each e ∈ E if it is in G where G is a connected subgraph of G (determined only by G and the randomness of the algorithm). We provide an LSSG that receives as a parameter a lower bound, ϕ, on the conductance of G whose query complexity is Õ(√n/ϕ2). This is almost optimal when ϕ is a constant since Ω(√n) queries are necessary even when G is an expander. Furthermore, this improves the state of the art of Õ(n2/3) queries for ϕ = Ω(1/n1/12). We then extend our result for (k, ϕin, ϕout)-clusterable graphs and provide an algorithm whose query complexity is Õ(√n + ϕoutn) for constant k and ϕin. This bound is almost optimal when ϕout = O(1/√n).

Original languageAmerican English
Title of host publicationApproximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, APPROX/RANDOM 2024
EditorsAmit Kumar, Noga Ron-Zewi
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Electronic)9783959773485
DOIs
StatePublished - 1 Sep 2024
Event27th International Conference on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2024 and the 28th International Conference on Randomization and Computation, RANDOM 2024 - London, United Kingdom
Duration: 28 Aug 202430 Aug 2024

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume317

Conference

Conference27th International Conference on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2024 and the 28th International Conference on Randomization and Computation, RANDOM 2024
Country/TerritoryUnited Kingdom
CityLondon
Period28/08/2430/08/24

Keywords

  • Clusterbale Graphs
  • Locally Computable Algorithms
  • Spanning Subgraphs
  • Sublinear algorithms

All Science Journal Classification (ASJC) codes

  • Software

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