
doi: 10.1145/3555806
In recent years, significant advances have been made in the design and analysis of fully dynamic algorithms. However, these theoretical results have received very little attention from the practical perspective. Few of the algorithms are implemented and tested on real datasets, and their practical potential is far from understood. Here, we present a quick reference guide to recent engineering and theory results in the area of fully dynamic graph algorithms.
graph algorithms, dynamic algorithms, Research exposition (monographs, survey articles) pertaining to computer science, 102031 Theoretische Informatik, Graph algorithms (graph-theoretic aspects), Graph theory (including graph drawing) in computer science, 102031 Theoretical computer science, Nonnumerical algorithms, Dynamic algorithms
graph algorithms, dynamic algorithms, Research exposition (monographs, survey articles) pertaining to computer science, 102031 Theoretische Informatik, Graph algorithms (graph-theoretic aspects), Graph theory (including graph drawing) in computer science, 102031 Theoretical computer science, Nonnumerical algorithms, Dynamic algorithms
| 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). | 24 | |
| 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. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
