Additive approximation algorithm for geodesic centers in δ-hyperbolic graphs

For an integer k ≥ 1 , the objective of k -Geodesic Center is to find a set C of k isometric paths such that the maximum distance between any vertex v and C is minimised. Introduced by Gromov, δ-hyperbolicity measures how treelike a graph is from a metric point of view. Our main contribution in this paper is to provide an additive O ( δ ) -approximation algorithm for k -Geodesic Center on δ -hyperbolic graphs. On the way, we define a coarse version of the pairing property introduced by Gerstel & Zaks (Networks, 1994) and show it holds for δ -hyperbolic graphs. This result allows to reduce the k -Geodesic Center problem to its rooted counterpart, a main idea behind our algorithm. We also adapt a technique of Dragan & Leitert, (TCS, 2017) to show that for every k ≥ 1 , k - Geodesic Center is NP-hard even on partial grids.

Authors

Institutions

Publication Details

Journal
Theoretical Computer Science
Published
2025-06-02
DOI
https://doi.org/10.1016/j.tcs.2025.115365
Primary Topic
Computational Geometry and Mesh Generation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Additive approximation algorithm for geodesic centers in δ-hyperbolic graphs

Dibyayan Chakraborty, Yann Vaxès
Theoretical Computer Science
Computational Geometry and Mesh Generation
article

Additive approximation algorithm for geodesic centers in δ-hyperbolic graphs

Dibyayan Chakraborty, Yann Vaxès
article en

Abstract

For an integer k ≥ 1 , the objective of k -Geodesic Center is to find a set C of k isometric paths such that the maximum distance between any vertex v and C is minimised. Introduced by Gromov, δ-hyperbolicity measures how treelike a graph is from a metric point of view. Our main contribution in this paper is to provide an additive O ( δ ) -approximation algorithm for k -Geodesic Center on δ -hyperbolic graphs. On the way, we define a coarse version of the pairing property introduced by Gerstel & Zaks (Networks, 1994) and show it holds for δ -hyperbolic graphs. This result allows to reduce the k -Geodesic Center problem to its rooted counterpart, a main idea behind our algorithm. We also adapt a technique of Dragan & Leitert, (TCS, 2017) to show that for every k ≥ 1 , k - Geodesic Center is NP-hard even on partial grids.

Theoretical Computer ScienceVol. 1049
Centre National de la Recherche Scientifique (FR), University of Leeds (GB), Aix-Marseille Université (FR), Laboratoire d’Informatique et Systèmes (FR), Laboratoire d’Informatique Fondamentale de Marseille (FR)
Openalex Percentile: Top 78%
Computational Geometry and Mesh Generation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Additive approximation algorithm for geodesic centers in δ-hyperbolic graphs — Dibyayan Chakraborty, Yann Vaxès · Theoretical Computer Science (2025) | TGRS Research Map | TGRS