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Our ability to uncover complex network structure and dynamics from data is fundamental to understanding and controlling collective dynamics in complex systems. Despite recent progress in this area, reconstructing networks

Our ability to uncover complex network structure and dynamics from data is fundamental to understanding and controlling collective dynamics in complex systems. Despite recent progress in this area, reconstructing networks with stochastic dynamical processes from limited time series remains to be an outstanding problem. Here we develop a framework based on compressed sensing to reconstruct complex networks on which stochastic spreading dynamics take place.

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    Contributors
    Date Created
    • 2014-07-01
    Resource Type
  • Text
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    Identifier
    • Digital object identifier: 10.1038/ncomms5323
    • Identifier Type
      International standard serial number
      Identifier Value
      2041-1723

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    Shen, Z. et al. Reconstructing propagation networks with natural diversity and identifying hidden sources. Nat. Commun. 5:4323 http://dx.doi.org/10.1038/ncomms5323 (2014).

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