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Unveiling the higher-order organization of multivariate time series
Andrea Santoro
, Federico Battiston
, Giovanni Petri
,
Enrico Amico
Mathematics
Research output
:
Working paper/Preprint
›
Preprint
Overview
Fingerprint
Research output
(2)
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Dive into the research topics of 'Unveiling the higher-order organization of multivariate time series'. Together they form a unique fingerprint.
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Keyphrases
Unveiling
100%
Multivariate Time Series
100%
Higher-order Organization
100%
Neuroscience
25%
Plethora
25%
Financial Markets
25%
High-order
25%
Temporal Evolution
25%
Spatiotemporal
25%
Network Topology
25%
Dynamical Features
25%
Network Analysis
25%
Dynamical Processes
25%
Series Analysis
25%
High-order Features
25%
Traditional Tools
25%
Pairwise Interaction
25%
High-order Dependency
25%
Dynamical Phase
25%
Coupled Chaotic Maps
25%
Fluctuation Pattern
25%
Dynamical Groups
25%
Cofluctuations
25%
Brain Functional Activity
25%
Pairwise Statistics
25%
Mathematics
Time Series Analysis
100%
Real-World Data
100%
Computer Science
Multivariate Time Series
100%
chaotic map
25%
Temporal Evolution
25%
Order Dependency
25%
Economics, Econometrics and Finance
Time Series
100%
Financial Market
20%