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Nonlinear random walks on hypergraphs characterized by higher-order interactions

delete2026-01-31
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PRE
AI
M
Meng Li
X
Xin Lü
S
Shuiling Shi
L
Leyang Xue
Z
Zengru Di
DOI:10.1016/j.ress.2026.112307delete
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Abstract

Abstract

En 中文
• Captured nonlinear characteristics inherent in higher-order group interactions. • Broke through linear assumptions of transition probabilities in random walks. • Proposed a nonlinear random walk model on hypergraphs with higher-order interactions. • Validated superior performance in identifying critical nodes across real-world datasets.
Keywords:
nonlinear random walks
hypergraphs
higher-order interactions
critical node identification

Journal

R
RELIABILITY ENGINEERING & SYSTEM SAFETY
IF:
11
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461
Citations:
0

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Beijing Normal University
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