
arXiv: 1910.04103
In this manuscript, we provide a concise review of the concept of metric dimension for both deterministic as well as random graphs. Algorithms to approximate this quantity, as well as potential applications, are also reviewed. This work has been partially funded by the NSF IIS grant 1836914.
7 pages, 4 figures
FOS: Computer and information sciences, Discrete Mathematics (cs.DM), Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Combinatorics, Combinatorics (math.CO), 05C12, 05C50, 05C62, 68R10, 90C35, 92C40, Mathematics - Optimization and Control, Computer Science - Discrete Mathematics
FOS: Computer and information sciences, Discrete Mathematics (cs.DM), Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Combinatorics, Combinatorics (math.CO), 05C12, 05C50, 05C62, 68R10, 90C35, 92C40, Mathematics - Optimization and Control, Computer Science - Discrete Mathematics
| selected citations These citations are derived from selected sources. 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). | 2 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
