It is exponentially unlikely that a sparse random graph or hypergraph is connected, but such graphs occur commonly as the giant components of larger random graphs. This simple observation allows us to estimate the number of connected graphs, and more generally the number of connected d-uniform hypergraphs, on n vertices with m = O(n) edges. We also estimate the probability that a binomial random hypergraph Hd(n,p) is connected, and determine the expected number of edges of Hd(n,p) conditioned on its being connected. This generalizes prior work of Bender, Canfield, and McKay [2] on the number of connected graphs; however, our approach relies on elementary probabilistic methods, extending an approach of O'Connell, rather than using powerful tools from enumerative combinatorics. We also estimate the probability for each t that, given k = O(n) balls in n bins, every bin is occupied by at least t balls. © Springer-Verlag 2004.
CITATION STYLE
Coja-Oghlan, A., Moore, C., & Sanwalani, V. (2004). Counting connected graphs and hypergraphs via the probabilistic method. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3122, 322–333. https://doi.org/10.1007/978-3-540-27821-4_29
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