Examining k-nearest neighbour networks: Superfamily phenomena and inversion
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Publication:5347069
DOI10.1063/1.4945008zbMath1361.37067OpenAlexW2339461955WikidataQ50656018 ScholiaQ50656018MaRDI QIDQ5347069
Publication date: 19 May 2017
Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1063/1.4945008
Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45) Time series analysis of dynamical systems (37M10)
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Cites Work
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- A note on two problems in connexion with graphs
- Chaotic attractors of an infinite-dimensional dynamical system
- The Lyapunov dimension of strange attractors
- Measuring the strangeness of strange attractors
- RECURRENCE-BASED TIME SERIES ANALYSIS BY MEANS OF COMPLEX NETWORK METHODS
- Superfamily phenomena and motifs of networks induced from time series
- Faithfulness of Recurrence Plots: A Mathematical Proof
- Efficient Algorithms for Shortest Paths in Sparse Networks
- Nonlinear time-series analysis revisited
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