
doi: 10.1137/0216048
Unlabelled graphs on n vertices can be generated uniformly at random, without calculating the total numbers of such graphs, but using asymptotic enumeration results. For large n the process is very efficient, taking O(n 2) steps on average. By similar methods one can generate random unlabelled graphs with n vertices and m edges in expected time for most values of m. Also random unlabelled r-regular graphs can be generated in expected time O(n) when \(r\geq 3\) is fixed.
Graph theory (including graph drawing) in computer science, uniform generation, Enumeration in graph theory, random graph, enumeration, unlabelled graphs
Graph theory (including graph drawing) in computer science, uniform generation, Enumeration in graph theory, random graph, enumeration, unlabelled graphs
| 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). | 14 | |
| 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% |
