2023
DOI: 10.1137/21m1409512
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Getting the Lay of the Land in Discrete Space: A Survey of Metric Dimension and Its Applications

Richard C. Tillquist,
Rafael M. Frongillo,
Manuel E. Lladser
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Cited by 7 publications
(3 citation statements)
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“…For a simple, connected, and undirected graph G = (V, E), the idea of metric dimension is just comparable to the number of satellites (in total) required for the perfect operation of GPS (Global Positioning Systems). The key concept behind metric dimension, is that a small ordered set, say U, is selected from the vertex set V(G), and the members of U are called as satellites or landmarks [18,19]. Then, using the distance of all vertices from the landmarks, one can uniquely identify each vertex in V(G) corresponding to the set U.…”
Section: Open Accessmentioning
confidence: 99%
See 1 more Smart Citation
“…For a simple, connected, and undirected graph G = (V, E), the idea of metric dimension is just comparable to the number of satellites (in total) required for the perfect operation of GPS (Global Positioning Systems). The key concept behind metric dimension, is that a small ordered set, say U, is selected from the vertex set V(G), and the members of U are called as satellites or landmarks [18,19]. Then, using the distance of all vertices from the landmarks, one can uniquely identify each vertex in V(G) corresponding to the set U.…”
Section: Open Accessmentioning
confidence: 99%
“…For instance, the small set U can assist robots navigating in a physical space, identifying intersection points on roads, uniquely specifying a group of people by assigning a UIN (unique identification number), or tracing disease transmission between distinct regions [9,20]. This might be employed as well for more general activities like recognizing a source of lies and deceitful information in a network of people, comparing distinct architectures of networks, chemical structure categorization, or quantitatively encoding symbolic data [19].…”
Section: Open Accessmentioning
confidence: 99%
“…Furthermore, this topic has some applications to problems of pattern recognition and image processing, some of which involve the use of hierarchical data structures. Moreover, a survey has recently appeared [15] which contains the vast majority of the most important results on metric dimension of graphs.…”
Section: Introductionmentioning
confidence: 99%