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20052025
most citedCausal Network Inference by Optimal Causation Entropy

222 citations · 1.8k across the 48 of their papers we have counts for

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7 papers · 1 filter

nlin.CD2017★ 1 cited

Construction,sensitivity index, and synchronization speed of optimal networks

Jeremie Fish, Jie Sun

The stability (or instability) of synchronization is important in a number of real world systems, including the power grid, the human brain and biological cells. For identical sync…

nlin.CD2015★ 184 cited

Causation Entropy Identifies Indirect Influences, Dominance of Neighbors and Anticipatory Couplings

Jie Sun, Erik M. Bollt

Inference of causality is central in nonlinear time series analysis and science in general. A popular approach to infer causality between two processes is to measure the informatio…

nlin.CD2011★ 86 cited

Robustness of Optimal Synchronization in Real Networks

Bhargava Ravoori, Adam B. Cohen, Jie Sun +3

Experimental studies of synchronization properties on networks with controlled connection topology can provide powerful insights into the physics of complex networks. Here, we repo…

nlin.CD2010

Judging Model Reduction of Chaotic Systems via Optimal Shadowing Criteria

Jie Sun, Erik M. Bollt, Takashi Nishikawa

A common goal in the study of high dimensional and complex system is to model the system by a low order representation. In this letter we propose a general approach for assessing t…

nlin.CD2008★ 179 cited

Master Stability Functions for Coupled Near-Identical Dynamical Systems

Jie Sun, Erik M. Bollt, Takashi Nishikawa

We derive a master stability function (MSF) for synchronization in networks of coupled dynamical systems with small but arbitrary parametric variations. Analogous to the MSF for id…

nlin.CD2008★ 1 cited

Synchronization Stability of Coupled Near-Identical Oscillator Network

Jie Sun, Erik M. Bollt, Takashi Nishikawa

We derive variational equations to analyze the stability of synchronization for coupled near-identical oscillators. To study the effect of parameter mismatch on the stability in a…