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  4. Metric dimension of critical Galton–Watson trees and linear preferential attachment trees
 
research article

Metric dimension of critical Galton–Watson trees and linear preferential attachment trees

Komjáthy, Júlia
•
Odor, Gergely  
2021
European Journal of Combinatorics

The metric dimension of a graph G is the minimal size of a subset R of vertices of G that, upon reporting their graph distance from a distinguished (source) vertex v⋆, enable unique identification of the source vertex v⋆ among all possible vertices of G. In this paper we show a Law of Large Numbers (LLN) for the metric dimension of some classes of trees: critical Galton–Watson trees conditioned to have size n, and growing general linear preferential attachment trees. The former class includes uniform random trees, the latter class includes Yule-trees (also called random recursive trees), m-ary increasing trees, binary search trees, and positive linear preferential attachment trees. In all these cases, we are able to identify the limiting constant in the LLN explicitly. Our result relies on the insight that the metric dimension can be related to subtree properties, and hence we can make use of the powerful fringe-tree literature developed by Aldous and Janson et al.

  • Details
  • Metrics
Type
research article
DOI
10.1016/j.ejc.2021.103317
Author(s)
Komjáthy, Júlia
Odor, Gergely  
Date Issued

2021

Published in
European Journal of Combinatorics
Volume

95

Article Number

103317

Subjects

Random growing trees

•

networks

•

fringe trees

•

metric dimension

•

source location

•

uniform random trees

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
INDY2  
Available on Infoscience
February 26, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/175533
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