Extracting connectivity from dynamics of networks with uniform bidirectional coupling
Publication in refereed journal

香港中文大學研究人員

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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 Delta using again only the input of time-series data, and assess the accuracy of the extracted connectivity information based on the value of Delta.
著者Ching ESC, Lai PY, Leung CY
期刊名稱Physical Review E
出版年份2013
月份10
日期25
卷號88
期次4
出版社American Physical Society
國際標準期刊號1539-3755
電子國際標準期刊號1550-2376
語言英式英語
Web of Science 學科類別Physics; Physics, Fluids & Plasmas; PHYSICS, FLUIDS & PLASMAS; Physics, Mathematical; PHYSICS, MATHEMATICAL

上次更新時間 2020-20-10 於 01:19