Central limit theorem for the largest component of random intersection graph
The electronic journal of combinatorics, Tome 29 (2022) no. 2

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Zbl DOI
Random intersection graphs are models of random graphs in which each vertex is assigned a subset of objects independently and two vertices are adjacent if their assigned subsets are adjacent. Let $n$ and $m=[\beta n^{\alpha}]$ denote the number of vertices and objects respectively. We get a central limit theorem for the largest component of the random intersection graph $G(n,m,p)$ in the supercritical regime and show that it changes between $\alpha>1$, $\alpha=1$ and $\alpha<1$.
DOI : 10.37236/10706
Classification : 05C80, 60F05
Mots-clés : random bipartite graph, Erdős-Rényi random graph model

Liang Dong  1   ; Zhishui Hu 

1 University of Science and Technology of China
Liang Dong; Zhishui Hu. Central limit theorem for the largest component of random intersection graph. The electronic journal of combinatorics, Tome 29 (2022) no. 2. doi: 10.37236/10706
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     author = {Liang Dong and Zhishui Hu},
     title = {Central limit theorem for the largest component of random intersection graph},
     journal = {The electronic journal of combinatorics},
     year = {2022},
     volume = {29},
     number = {2},
     doi = {10.37236/10706},
     zbl = {1491.05167},
     url = {http://geodesic.mathdoc.fr/articles/10.37236/10706/}
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