Literature DB >> 25871037

Reconstructing weighted networks from dynamics.

Emily S C Ching1, Pik-Yin Lai2,3, C Y Leung1.   

Abstract

We present a method that reconstructs both the links and their relative coupling strength of bidirectional weighted networks. Our method requires only measurements of node dynamics as input. Using several examples, we demonstrate that our method can give accurate results for weighted random and weighted scale-free networks with both linear and nonlinear dynamics.

Mesh:

Year:  2015        PMID: 25871037     DOI: 10.1103/PhysRevE.91.030801

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  5 in total

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4.  Network Reconstruction and Community Detection from Dynamics.

Authors:  Tiago P Peixoto
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5.  Identifying the pulsed neuron networks' structures by a nonlinear Granger causality method.

Authors:  Mei-Jia Zhu; Chao-Yi Dong; Xiao-Yan Chen; Jing-Wen Ren; Xiao-Yi Zhao
Journal:  BMC Neurosci       Date:  2020-02-12       Impact factor: 3.288

  5 in total

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