A new centrality measure based on random walks for multilayer networks under the framework of tensor computation

DOI10.1016/j.physa.2019.04.236OpenAlexW2935780549MaRDI QIDQ2160096

Yanyan Li

Publication date: 2 August 2022

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2019.04.236

zbMATH Keywords

random walkscentralitytensor representationmultilayer networkslimiting probability distributiontensor iterative computation

Mathematics Subject Classification ID

Statistical mechanics, structure of matter (82-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• Perron-Frobenius theorem for nonnegative tensors
• Ranking the spreading ability of nodes in complex networks based on local structure
• The global convergence of the nonlinear power method for mixed-subordinate matrix norms
• Complex networks: structure and dynamics
• Eigenvalues of a real supersymmetric tensor
• Sensitivity and Stability of Ranking Vectors
• Authoritative sources in a hyperlinked environment
• Eigenvector centrality of nodes in multiplex networks
• Uniqueness in the Schauder Fixed Point Theorem
• A biplex approach to PageRank centrality: From classic to multiplex networks
• Node and Layer Eigenvector Centralities for Multiplex Networks
• The Perron--Frobenius Theorem for Multihomogeneous Mappings
• A Unifying Perron--Frobenius Theorem for Nonnegative Tensors via Multihomogeneous Maps
• The contractivity of cone-preserving multilinear mappings
• Random Walker Ranking for NCAA Division I-A Football
• A NEW MEASURE OF RANK CORRELATION