Tunable Eigenvector-Based Centralities for Multiplex and Temporal Networks
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Publication:5148865
DOI10.1137/19M1262632zbMath1457.90033arXiv1904.02059OpenAlexW3123899586MaRDI QIDQ5148865
Mason A. Porter, Dane Taylor, Peter J. Mucha
Publication date: 5 February 2021
Published in: Multiscale Modeling & Simulation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1904.02059
Small world graphs, complex networks (graph-theoretic aspects) (05C82) Deterministic network models in operations research (90B10) Eigenvalues, singular values, and eigenvectors (15A18) Applications of graph theory to circuits and networks (94C15) Random walks on graphs (05C81)
Related Items
Classical and Quantum Random-Walk Centrality Measures in Multilayer Networks, Erratum: Tunable Eigenvector-Based Centralities for Multiplex and Temporal Networks, Matrix functions in network analysis, Perron communicability and sensitivity of multilayer networks, Enhancing multiplex global efficiency, A general higher-order supracentrality framework based on motifs of temporal networks and multiplex networks
Uses Software
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