A soft random graph can be obtained from the random geometric graph by keeping every edge in with probability . This random graph is a particular case of the soft random graph model introduced by Penrose, in which the probability between 2 vertices is a function that depends on the distance between them. In this article, we define models for random simplicial complexes built over the soft random graph , which also present randomness in all other dimensions. Furthermore, we study the homology of those random simplicial complexes in different regimes of , and by giving asymptotic formulas for the expectation of the Betti numbers in the sparser regimes, and bounds in the denser regimes.

生成讲解博客的中文版本

生成AI智能校验的中文版本