
arXiv: 2112.04549
AbstractHow efficiently can we find an unknown graph using distance queries between its vertices? We assume that the unknown graph is connected, unweighted, and has bounded degree. The goal is to find every edge in the graph. This problem admits a reconstruction algorithm based on multi‐phase Voronoi‐cell decomposition and using distance queries. In our work, we analyze a simple reconstruction algorithm. We show that, on random ‐regular graphs, our algorithm uses distance queries. As by‐products, with high probability, we can reconstruct those graphs using queries to an all‐distances oracle or queries to a betweenness oracle, and we bound the metric dimension of those graphs by . Our reconstruction algorithm has a very simple structure, and is highly parallelizable. On general graphs of bounded degree, our reconstruction algorithm has subquadratic query complexity.
FOS: Computer and information sciences, reconstruction, Combinatorics, Computer Science - Data Structures and Algorithms, random regular graphs, Data Structures and Algorithms (cs.DS), [INFO] Computer Science [cs], Computer science, metric dimension, network topology, 004
FOS: Computer and information sciences, reconstruction, Combinatorics, Computer Science - Data Structures and Algorithms, random regular graphs, Data Structures and Algorithms (cs.DS), [INFO] Computer Science [cs], Computer science, metric dimension, network topology, 004
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