Solving the inverse problem of noise-driven dynamic networks.

@article{Zhang2015SolvingTI,
  title={Solving the inverse problem of noise-driven dynamic networks.},
  author={Zhaoyang Zhang and Zhigang Zheng and Haijing Niu and Yuanyuan Mi and Si Wu and Gang Hu},
  journal={Physical review. E, Statistical, nonlinear, and soft matter physics},
  year={2015},
  volume={91 1},
  pages={
          012814
        }
}
Nowadays, massive amounts of data are available for analysis in natural and social systems and the tasks to depict system structures from the data, i.e., the inverse problems, become one of the central issues in wide interdisciplinary fields. In this paper, we study the inverse problem of dynamic complex networks driven by white noise. A simple and universal inference formula of double correlation matrices and noise-decorrelation (DCMND) method is derived analytically, and numerical simulations… 

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