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  1. Home > Articles & Issues >
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  3. Leanness Computation ...
Article

Leanness Computation: Small Values and Special Graph Classes

David Coudert ORCID (1), Samuel Coulomb (2), Guillaume Ducoffe (3) (4) (5)
(1) Combinatorics, Optimization and Algorithms for Telecommunications
(2) École normale supérieure - Paris
(3) University of Bucharest
(4) National Institute for Research and Development in Informatics [Bucharest]
(5) Universitatea din București = University of Bucharest = Université de Bucarest
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Submitted on
November 13, 2023
Accepted on
June 3, 2024
Published on
July 8, 2024
Last modified on
April 1, 2025
Volume 26
vol. 26:2
Graph Theory
DOI
10.46298/dmtcs.12544
License
Attribution 4.0 International (CC BY 4.0)
French National Research Agency (ANR)
ANR-15-IDEX-0001
Idex UCA JEDI
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698
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Leanness Computation: Small Values and Special Graph Classes

David Coudert ORCID (1), Samuel Coulomb (2), Guillaume Ducoffe (3) (4) (5)
(1) Combinatorics, Optimization and Algorithms for Telecommunications
(2) École normale supérieure - Paris
(3) University of Bucharest
(4) National Institute for Research and Development in Informatics [Bucharest]
(5) Universitatea din București = University of Bucharest = Université de Bucarest
Abstract
Let u and v be vertices in a connected graph G = (V, E). For any integer k such that 0 ≤ k ≤ dG (u, v), the k-slice Sk (u, v) contains all vertices x on a shortest uv-path such that dG (u, x) = k. The leanness of G is the maximum diameter of a slice. This metric graph invariant has been studied under different names, such as "interval thinness" and "fellow traveler property". Graphs with leanness equal to 0, a.k.a. geodetic graphs, also have received special attention in Graph Theory. The practical computation of leanness in real-life complex networks has been studied recently (Mohammed et al., COMPLEX NETWORKS'21). In this paper, we give a finer-grained complexity analysis of two related problems, namely: deciding whether the leanness of a graph G is at most some small value ℓ; and computing the leanness on specific graph classes. We obtain improved algorithms in some cases, and time complexity lower bounds under plausible hypotheses.
Keywords
  • [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]
  • [INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]
  • Leanness
  • Geodetic graphs
  • SETH-based lower bounds
  • Graph algorithms
Mathematics Subject Classification 2020
  • 05C10 - Planar graphs; geometric and topological aspects of graph theory
  • 05C82 - Small world graphs, complex networks (graph-theoretic aspects)
  • 05C85 - Graph algorithms (graph-theoretic aspects)
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