The Simultaneous Strong Metric Dimension of Graph Families
A. Estrada-Moreno, C. Garc\'ia-G\'omez, Y. Ram\'irez-Cruz, J. A., Rodr\'iguez-Vel\'azquez

TL;DR
This paper introduces the concept of the simultaneous strong metric dimension for graph families, analyzing its properties, computational complexity, and focusing on families including a graph and its complement.
Contribution
It defines the simultaneous strong metric dimension, provides general bounds, and proves NP-hardness even for tree families.
Findings
The simultaneous strong metric dimension is NP-hard to compute.
General bounds are established for arbitrary graph families.
Special case analysis for families including a graph and its complement.
Abstract
Let be a family of graphs defined on a common (labeled) vertex set . A set is said to be a simultaneous strong metric generator for if it is a strong metric generator for every graph of the family. The minimum cardinality among all simultaneous strong metric generators for , denoted by , is called the simultaneous strong metric dimension of . We obtain general results on for arbitrary families of graphs, with special emphasis on the case of families composed by a graph and its complement. In particular, it is shown that the problem of finding the simultaneous strong metric dimension of families of graphs is -hard, even when restricted to families of trees.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
