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Lagrangian betweenness: a measure of bottlenecks in dynamical systems with oceanographic examples
- Source :
- Digital.CSIC. Repositorio Institucional del CSIC, instname, Nature Communications, Nature Communications, 2021, 12 (1), ⟨10.1038/s41467-021-25155-9⟩, Nature Communications, Nature Publishing Group, 2021, 12 (1), ⟨10.1038/s41467-021-25155-9⟩, Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
- Publication Year :
- 2021
- Publisher :
- Springer Nature, 2021.
-
Abstract
- The study of connectivity patterns in networks has brought novel insights across diverse fields ranging from neurosciences to epidemic spreading or climate. In this context, betweenness centrality has demonstrated to be a very effective measure to identify nodes that act as focus of congestion, or bottlenecks, in the network. However, there is not a way to define betweenness outside the network framework. By analytically linking dynamical systems and network theory, we provide a trajectory-based formulation of betweenness, called Lagrangian betweenness, as a function of Lyapunov exponents. This extends the concept of betweenness beyond the context of network theory relating hyperbolic points and heteroclinic connections in any dynamical system to the structural bottlenecks of the network associated with it. Using modeled and observational velocity fields, we show that such bottlenecks are present and surprisingly persistent in the oceanic circulation across different spatio-temporal scales and we illustrate the role of these areas in driving fluid transport over vast oceanic regions. Analyzing plankton abundance data from the Kuroshio region of the Pacific Ocean, we find significant spatial correlations between measures of diversity and betweenness, suggesting promise for ecological applications.<br />MJF and ES-R are very grateful for support from the Simons Foundation: the Simons Collaboration on Computational BIOgeochemical modeling of Marine EcosystemS (CBIOMES #549931 to MJF). C.L. and E.H-G acknowledge financial support from the Spanish State Research Agency through the Maria de Maeztu Program for Units of Excellence in R&D (MDM-2017-0711).
- Subjects :
- 010504 meteorology & atmospheric sciences
Dynamical systems theory
Computer science
Science
Complex networks
General Physics and Astronomy
FOS: Physical sciences
Context (language use)
Network theory
Lyapunov exponent
Dynamical system
01 natural sciences
General Biochemistry, Genetics and Molecular Biology
Article
symbols.namesake
Betweenness centrality
0103 physical sciences
14. Life underwater
Statistical physics
010306 general physics
Physics::Atmospheric and Oceanic Physics
Condensed Matter - Statistical Mechanics
0105 earth and related environmental sciences
Marine biology
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere
Multidisciplinary
Statistical Mechanics (cond-mat.stat-mech)
Physical oceanography
General Chemistry
Complex network
Fluid transport
Nonlinear Sciences - Chaotic Dynamics
Physics - Atmospheric and Oceanic Physics
Atmospheric and Oceanic Physics (physics.ao-ph)
[SDE]Environmental Sciences
symbols
Chaotic Dynamics (nlin.CD)
Subjects
Details
- ISSN :
- 20411723
- Database :
- OpenAIRE
- Journal :
- Digital.CSIC. Repositorio Institucional del CSIC, instname, Nature Communications, Nature Communications, 2021, 12 (1), ⟨10.1038/s41467-021-25155-9⟩, Nature Communications, Nature Publishing Group, 2021, 12 (1), ⟨10.1038/s41467-021-25155-9⟩, Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
- Accession number :
- edsair.doi.dedup.....2476fa4e90ac9fd206228874cfa5a105
- Full Text :
- https://doi.org/10.1038/s41467-021-25155-9⟩