Multidimensional Recurrence Quantification Analysis (MdRQA) for the Analysis of Multidimensional Time-Series: A Software Implementation in MATLAB and Its Application to Group-Level Data in Joint Action
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We introduce Multidimensional Recurrence Quantification Analysis (MdRQA) as a tool to analyze multidimensional time-series data. We show how MdRQA can be used to capture the dynamics of high-dimensional signals, and how MdRQA can be used to assess coupling between two or more variables. In particular, we describe applications of the method in research on joint and collective action, as it provides a coherent analysis framework to systematically investigate dynamics at different group levels-from individual dynamics, to dyadic dynamics, up to global group-level of arbitrary size. The Appendix in Supplementary Material contains a software implementation in MATLAB to calculate MdRQA measures.
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There are few suggestions for possible biological mechanisms computed at the group level, despite the group-level nature of the herding phenomenon.
“Surprisingly, despite the group-level nature of the herding phenomenon, there are few suggestions for the possible biological mechanisms computed at the group level, as this level of representation requires different avenues of analysis of data from what has been done thus far”
From Physiological and Behavioral Synchrony Predict Group Cohesion and Performance (2020) · cites this paper as [75]
The Introduction says group-level behavior has often been analyzed as pairs and calls for methods that quantify group dynamics more directly. The origami-task section demonstrates such an analysis using physiological data. The paper does not address herding or establish that few group-level biological mechanisms for herding have been proposed. (LLM, conf=0.84)
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A versatile computational algorithm for time-series data analysis and machine-learning models
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Multiscale Cross-Recurrence Plot and Recurrence Quantification Analysis Based on Coarse-Grained
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Features underlying speech versus music as categories of auditory experiencePreprint
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- Authors
- Wallot, S., Roepstorff, A., & Mønster, D.
- Affiliations
- Max Planck Institute for Empirical Aesthetics (DE)
- Aarhus University (DK)
- Corresponding author
- Wallot, Sebastian
- Venue
- Frontiers in Psychology
- Publisher
- Frontiers Media SA
- Published
- 2016-11-22
- Volume
- 7
- Pages
- 1835-1835
- ISSN
- 1664-1078 (ISSN-L)
- PMC
- PMC5118451
- OpenAlex
- W2551658346
- Cited by
- 140
- References
- 39
- Citations by year
- 2026: 19 · 2025: 21 · 2024: 14 · 2023: 16 · 2022: 15 · 2021: 17 · 2020: 15 · 2019: 10 · 2018: 11 · 2017: 1 · 2016: 1
- FWCI
- 4.34
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Psychology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Chaos control and synchronization
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Complex Systems and Time Series Analysis
- Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
- Keywords
- multidimensional time series, recurrence quantification analysis, joint action, collective action, group dynamics, dyadic dynamics, high-dimensional signals
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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