The Asymptotics of Large Constrained Graphs
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Abstract (arXiv)
We show, through local estimates and simulation, that if one constrains simple graphs by their densities varepsilon of edges and τ of triangles, then asymptotically (in the number of vertices) for over 95% of the possible range of those densities there is a well-defined typical graph, and it has a very simple structure: the vertices are decomposed into two subsets V1 and V2 of fixed relative size c and 1-c, and there are well-defined probabilities of edges, gjk, between vj∈ Vj, and vk∈ Vk. Furthermore the four parameters c, g11, g22 and g12 are smooth functions of (varepsilon,τ) except at two smooth `phase transition' curves.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 6 Jan 2014.
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- 2023Path convergence of Markov chains on large graphscited by 0
- 2023Path convergence of Markov chains on large graphs18 Aug 2023