Abstract
In this chapter, we consider Erdős-Rényi model Γ(n, p n ) of random graphs. A random graph Γ with this distribution is described as follows. Its vertex set is [n] and for each pair {i, j} ⊂ [n] with i ≠ j, there is an edge between i and j with probability p n . Moreover, all these events are independent. We are then interested in the following random variables, called subgraph count statistics. If γ is a fixed graph of size k, then X γ (n) is the number of copies of γ contained in the graph Γ(n, p n ) (a more formal definition is given in the next paragraph). This is a classical parameter in random graph theory; see, e.g. the book of S. Janson, T. Łuczak and A. Ruciński [JŁR00].
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Féray, V., Méliot, PL., Nikeghbali, A. (2016). Subgraph count statistics in Erdős-Rényi random graphs. In: Mod-ϕ Convergence. SpringerBriefs in Probability and Mathematical Statistics. Springer, Cham. https://doi.org/10.1007/978-3-319-46822-8_10
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DOI: https://doi.org/10.1007/978-3-319-46822-8_10
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