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A Novel Measure Inspired by Lyapunov Exponents for the Characterization of Dynamics in State-Transition Networks
The combination of network sciences, nonlinear dynamics and time series analysis provides novel insights and analogies between the different approaches to complex systems. By combining the considerations behind the Lyapunov exponent of dynamical systems and the average entropy of transition probabil...
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| Publié dans: | Entropy (Basel) |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI
2021
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7828116/ https://ncbi.nlm.nih.gov/pubmed/33445685 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e23010103 |
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