Research Article
Information Dynamic Spectrum Predicts Critical Transitions
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@INPROCEEDINGS{10.1007/978-3-319-03473-7_24, author={Kang-Yu Ni and Tsai-Ching Lu}, title={Information Dynamic Spectrum Predicts Critical Transitions}, proceedings={Complex Sciences. Second International Conference, COMPLEX 2012, Santa Fe, NM, USA, December 5-7, 2012, Revised Selected Papers}, proceedings_a={COMPLEX}, year={2013}, month={11}, keywords={Transfer entropy prediction information dynamics}, doi={10.1007/978-3-319-03473-7_24} }- Kang-Yu Ni
Tsai-Ching Lu
Year: 2013
Information Dynamic Spectrum Predicts Critical Transitions
COMPLEX
Springer
DOI: 10.1007/978-3-319-03473-7_24
Abstract
This paper addresses the need of predicting system instability toward critical transitions occurred in complex systems. A novel information dynamic spectrum framework and a method for automated prediction of system trajectories are proposed. Our framework goes beyond unidirectional diffusion dynamics to investigate heterogeneously networked dynamical systems with transient directional influence dynamics. Our method automatically analyzes the input time series of system instability to predict the instability trajectories toward critical transitions.
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