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Identifying codes in line digraphs

Authors: Balbuena Martínez, Maria Camino Teófila; Dalfó Simó, Cristina; Martínez Barona, Berenice;

Identifying codes in line digraphs

Abstract

Given an integer $\ell\ge 1$, a $(1,\le \ell)$-identifying code in a digraph is a dominating subset $C$ of vertices such that all distinct subsets of vertices of cardinality at most $\ell$ have distinct closed in-neighbourhood within $C$. In this paper, we prove that every $k$-iterated line digraph of minimum in-degree at least 2 and $k\geq2$, or minimum in-degree at least 3 and $k\geq1$, admits a $(1,\le \ell)$-identifying code with $\ell\leq2$, and in any case it does not admit a $(1,\le \ell)$-identifying code for $\ell\geq3$. Moreover, we find that the identifying number of a line digraph is lower bounded by the size of the original digraph minus its order. Furthermore, this lower bound is attained for oriented graphs of minimum in-degree at least 2.

Country
Spain
Keywords

05C69, 05C20, line digraph, Directed graphs (digraphs), tournaments, Classificació AMS::05 Combinatorics::05C Graph theory, dominating set, Grafs, identifying code, Dominating set, FOS: Mathematics, Mathematics - Combinatorics, Separating set, Teoria de, 1-factor, separating set, Grafs, Teoria de, Other types of codes, 1-Factor, Line digraph, Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica discreta::Teoria de grafs, Graph theory, Vertex subsets with special properties (dominating sets, independent sets, cliques, etc.), Identifying code, Combinatorics (math.CO), :05 Combinatorics::05C Graph theory [Classificació AMS], :Matemàtiques i estadística::Matemàtica discreta::Teoria de grafs [Àrees temàtiques de la UPC]

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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