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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/104683


    Title: Extracting connectivity from dynamics of networks with uniform bidirectional coupling
    Authors: 黎璧賢;Ching, Emily S. C.;Lai, Pik-Yin;Leung, C. Y.
    Contributors: 理學院物理學系
    Date: 2013-10-25
    Issue Date: 2026-04-23 11:55:29 (UTC+8)
    Publisher: American Physical Society;United States
    Abstract: 摘要: In the study of networked systems, a method that can extract information about how the individual nodes are connected with one another would be valuable. In this paper, we present a method that can yield such information of network connectivity using measurements of the dynamics of the nodes as the only input data. Our method is built upon a noise-induced relation between the Laplacian matrix of the network and the dynamical covariance matrix of the nodes, and applies to networked dynamical systems in which the coupling between nodes is uniform and bidirectional. Using examples of different networks and dynamics, we demonstrate that the method can give accurate connectivity information for a wide range of noise amplitude and coupling strength. Moreover, we can calculate a parameter Δ using again only the input of time-series data, and assess the accuracy of the extracted connectivity information based on the value of Δ.
    其他題名: Phys Rev E Stat Nonlin Soft Matter Phys
    出版者: United States
    出版日期: 2013-10
    出處: Physical review. E, Statistical, nonlinear, and soft matter physics, 2013-10, Vol.88 (4), p.042817, Article 042817
    識別號: ISSN: 1539-3755
    識別號: ISSN: 1550-2376
    識別號: EISSN: 1550-2376
    識別號: DOI: 10.1103/PhysRevE.88.042817
    識別號: PMID: 24229235
    Appears in Collections:[Department of Physics] journal & Dissertation

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