Split graphs: combinatorial species and asymptotics
Justin M. Troyka

TL;DR
This paper studies the combinatorial structure and asymptotic enumeration of split graphs, extending previous results with species-theoretic methods and confirming that most split graphs are balanced.
Contribution
It provides species-theoretic generalizations of existing enumeration results for split graphs, including asymptotic counts and the proof that almost all split graphs are balanced.
Findings
Asymptotic enumeration of split graphs and related classes
Species-theoretic generalizations of previous results
Proof that almost all split graphs are balanced
Abstract
A split graph is a graph whose vertices can be partitioned into a clique and a stable set. We investigate the combinatorial species of split graphs, providing species-theoretic generalizations of enumerative results due to B\'ina and P\v{r}ibil (2015), Cheng, Collins, and Trenk (2016), and Collins and Trenk (2018). In both the labeled and unlabeled cases, we give asymptotic results on the number of split graphs, of unbalanced split graphs, and of bicolored graphs, including proving the conjecture of Cheng, Collins, and Trenk (2016) that almost all split graphs are balanced.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
