2012
DOI: 10.1016/j.disc.2012.07.025
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The metric dimension of the lexicographic product of graphs

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Cited by 87 publications
(105 citation statements)
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“…The parameters related to metric dimension have not escaped to this. For instance, the metric dimensions of Cartesian product graphs, strong product graphs, lexicographic product graphs, corona product graphs and rooted product graphs were studied in [1,9,21,24,29] and [13], respectively. The strong metric dimensions of Cartesian product graph, strong product graph, corona product graphs and rooted product graphs were studied in [14][15][16]23] and [17], respectively.…”
Section: Lemma 2 ([4]mentioning
confidence: 99%
“…The parameters related to metric dimension have not escaped to this. For instance, the metric dimensions of Cartesian product graphs, strong product graphs, lexicographic product graphs, corona product graphs and rooted product graphs were studied in [1,9,21,24,29] and [13], respectively. The strong metric dimensions of Cartesian product graph, strong product graph, corona product graphs and rooted product graphs were studied in [14][15][16]23] and [17], respectively.…”
Section: Lemma 2 ([4]mentioning
confidence: 99%
“…A set S ⊂ V of vertices in a graph G = (V, E) is said to be an adjacency generator for G if for every two vertices x, y ∈ V − S there exists s ∈ S such that s is adjacent to exactly one of x and y. A minimum cardinality adjacency generator is called an adjacency basis of G, and its cardinality the adjacency dimension of G, denoted by adim(G) [15]. The concepts of local adjacency generator, local adjacency basis and local adjacency dimension are defined by analogy, and the local adjacency dimension of a graph G is denoted by adim l (G).…”
Section: Introductionmentioning
confidence: 99%
“…Applications of the metric dimension to the navigation of robots in networks are discussed in [4] and applications to chemistry in [5,6]. This invariant was studied further in a number of other papers including, for instance [7][8][9][10][11][12][13][14][15][16][17][18][19][20].…”
Section: Introductionmentioning
confidence: 99%
“…A set S ⊆ V is said to be a local metric generator for G if any pair of adjacent vertices of G is distinguished by some element of S. A minimum local metric generator is called a local metric basis and its cardinality the local metric dimension of G, denoted by dim l (G). Additionally, Jannesari and Omoomi [16] introduced the concept of adjacency resolving sets as a result of considering the two-distance in V(G), which is defined as d G,2 (u, v) = min{d G (u, v), 2} for any two vertices u, v ∈ V(G). A set of vertices S such that any pair of vertices of V(G) is distinguished by an element s in S considering the two-distance in V(G) is called an adjacency generator for G. If we only ask S to distinguish the pairs of adjacent vertices, we call S a local adjacency generator.…”
Section: Introductionmentioning
confidence: 99%