id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ejpam-6835	Fujita, Takaaki; Smarandache, Florentin	Random n-SuperHyperGraphs: A Probabilistic Model and Generation Algorithm for Hierarchical Networks	2025	29	.pdf	application/pdf	9258	837	67	But random graph models assume independent edge formation, ignore higher-order correlations, lack hierarchical structure, and cannot capture multi-scale interactions or nested dependencies present in real-world networks. While random graph and hypergraph models form edges independently with prob- ability p, they do not account for higher-order, multi-scale, or nested dependencies often observed in real-world networks.	cache/ejpam-6835.pdf	txt/ejpam-6835.txt