The stripping process can be slow: part II
Pu Gao

TL;DR
This paper extends previous research on the stripping number and maximum depth in random uniform hypergraphs by analyzing their behavior in the subcritical regime and critical window, complementing earlier supercritical results.
Contribution
It provides new insights into the stripping process in hypergraphs within subcritical and critical regimes, expanding understanding beyond the supercritical case.
Findings
Analysis of stripping number in subcritical regime
Maximum depth characterization in critical window
Extension of previous supercritical results
Abstract
This paper is a continuation of the previous results on the stripping number of a random uniform hypergraph, and the maximum depth over all non-k-core vertices. The previous results focus on the supercritical case, whereas this work analyses these parameters in the subcritical regime and inside the critical window.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Theoretical and Computational Physics · Markov Chains and Monte Carlo Methods
