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The metric dimension μ is the smallest size of a resolving set for Γ.
A resolving set for a graph Γ is a collection of vertices S, chosen so that for each vertex v, the list of distances from v to the members of S uniquely specifies v.
A set of vertices S in a graph G is a resolving set for G if, for any two vertices u,v, there exists x∈S such that the distances d u,x ≠d v,x).
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In this paper, we consider the Johnson graphs J n,k) and Kneser graphs K n,k), and obtain various constructions of resolving sets for these graphs.
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As well as general constructions, we show that various interesting combinatorial objects can be used to obtain resolving sets in these graphs, including (for Johnson graphs) projective planes and symmetric designs, as well as (for Kneser graphs) partial geometries, Hadamard matrices, Steiner systems and toroidal grids.
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We compare the efficacy of a UCE-based phylogenomic data set to that of a high-quality nuclear-gene data set for resolving phylogenetic relationships and obtaining divergence estimates within formicine ants.
We then use these combined results to investigate (i) the power of each data set for resolving the phylogeny of the subfamily Formicinae and (ii) the evolutionary and biogeographic history of the subfamily.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com