High-order Phase Transition in Random Hypergrpahs
Linyuan Lu, Xing Peng

TL;DR
This paper investigates the phase transition for the emergence of giant s-th-order connected components in random r-uniform hypergraphs, identifying the sharp threshold and describing the size of the giant component.
Contribution
It establishes the precise threshold for the appearance of giant s-th-order components and characterizes their size distribution in random hypergraphs.
Findings
Sharp threshold for giant component emergence at 1/(({r choose s}-1) * n choose r-s)
Below threshold, all s-th-order components are logarithmic in size
Above threshold, a unique giant component exists with size proportional to n choose s
Abstract
In this paper, we study the high-order phase transition in random -uniform hypergraphs. For a positive integer and a real , let be the random -uniform hypergraph with vertex set , where each -set is selected as an edge with probability independently randomly. For and two -sets and , we say is connected to if there is a sequence of alternating -sets and edges such that are -sets, , , are edges of , and for each . This is an equivalence relation over the family of all -sets and results in a partition: . Each is called an { -th-order} connected component and a component is {\em giant} if…
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Taxonomy
TopicsLimits and Structures in Graph Theory · Complexity and Algorithms in Graphs · Advanced Graph Theory Research
