Affordable Access

Access to the full text

Medians in median graphs and their cube complexes in linear time

Authors
  • Bénéteau, Laurine
  • Chalopin, Jérémie
  • Chepoi, Victor
  • Vaxès, Yann
Type
Preprint
Publication Date
Jul 23, 2020
Submission Date
Jul 24, 2019
Identifiers
DOI: 10.1016/j.jcss.2022.01.001
Source
arXiv
License
Yellow
External links

Abstract

The median of a set of vertices $P$ of a graph $G$ is the set of all vertices $x$ of $G$ minimizing the sum of distances from $x$ to all vertices of $P$. In this paper, we present a linear time algorithm to compute medians in median graphs, improving over the existing quadratic time algorithm. We also present a linear time algorithm to compute medians in the $\ell_1$-cube complexes associated with median graphs. Median graphs constitute the principal class of graphs investigated in metric graph theory and have a rich geometric and combinatorial structure, due to their bijections with CAT(0) cube complexes and domains of event structures. Our algorithm is based on the majority rule characterization of medians in median graphs and on a fast computation of parallelism classes of edges ($\Theta$-classes or hyperplanes) via Lexicographic Breadth First Search (LexBFS). To prove the correctness of our algorithm, we show that any LexBFS ordering of the vertices of $G$ satisfies the following fellow traveler property of independent interest: the parents of any two adjacent vertices of $G$ are also adjacent. Using the fast computation of the $\Theta$-classes, we also compute the Wiener index (total distance) of $G$ in linear time and the distance matrix in optimal quadratic time.

Report this publication

Statistics

Seen <100 times