The Largest Component of Near-Critical Random Intersection Graph with Tunable Clustering
Author(s) -
Shiying Huang,
Bin Wang
Publication year - 2021
Publication title -
journal of mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.252
H-Index - 13
eISSN - 2314-4785
pISSN - 2314-4629
DOI - 10.1155/2021/2284300
Subject(s) - mathematics , intersection graph , component (thermodynamics) , combinatorics , cluster analysis , connected component , graph , intersection (aeronautics) , discrete mathematics , line graph , statistics , geography , cartography , physics , thermodynamics
In this paper, we study the largest component of the near-critical random intersection graph G n , m , p with n nodes and m elements, where m = Θ n which leads to the fact that the clustering is tunable. We prove that with high probability the size of the largest component in the weakly supercritical random intersection graph with tunable clustering on n vertices is of order n ϵ n , and it is of order ϵ − 2 n log n ϵ 3 n in the weakly subcritical one, where ϵ n ⟶ 0 and n 1 / 3 ϵ n ⟶ ∞ as n ⟶ ∞ .
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