Lagged Multidimensional Recurrence Quantification Analysis for Determining Leader–Follower Relationships Within Multidimensional Time Series

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Authors

  • Alon Tomashin
  • Ilanit Gordon
  • Giuseppe Leonardi
  • Yair Berson
  • Nir Milstein
  • Matthias Ziegler
  • Ursula Hess
  • Sebastian Wallot

The current article introduces lagged multidimensional recurrence quantification analysis. The method is an extension of multidimensional recurrence quantification analysis and allows to quantify the joint dynamics of multivariate time series and to investigate leader–follower relationships in behavioral and physiological data. Moreover, the method enables the quantification of the joint dynamics of a group, when such leader–follower relationships are taken into account. We first provide a formal presentation of the method, and then apply it to synthetic data, as well as data sets from joint action research, investigating the shared dynamics of facial expression and beats-per-minute recordings within different groups. A wrapper function is included, for applying the method together with the “crqa” package in R.

OriginalspracheEnglisch
ZeitschriftPsychological Methods
Anzahl der Seiten15
ISSN1082-989X
DOIs
PublikationsstatusElektronische Veröffentlichung vor Drucklegung - 10.10.2024

Bibliographische Notiz

Publisher Copyright:
© 2024 The Author(s)

DOI

Zuletzt angesehen

Publikationen

  1. Effective informational entropy reduction in multi-robot systems based on real-time TVS
  2. Positioning Improvement for a Laser Scanning System using cSORPD control
  3. Improved sensorimotor control is not connected with improved proprioception
  4. Machine Learning and Knowledge Discovery in Databases
  5. Competing Vegetation Structure Indices for Estimating Spatial Constrains in Carabid Abundance Patterns in Chinese Grasslands Reveal Complex Scale and Habitat Patterns
  6. Advances in Dynamics, Optimization and Computation
  7. Does thinking-aloud affect learning, visual information processing and cognitive load when learning with seductive details as expected from self-regulation perspective?
  8. Cognitive load and instructionally supported learning with provided and learner-generated visualizations
  9. Resource extraction technologies - is a more responsible path of development possible?
  10. Using augmented video to test in-car user experiences of context analog HUDs
  11. Robust Control of Mobile Transportation Object with 3D Technical Vision System
  12. How Much Home Office is Ideal? A Multi-Perspective Algorithm
  13. Efficient Order Picking Methods in Robotic Mobile Fulfillment Systems
  14. Guided discovery learning with computer-based simulation games
  15. Probabilistic approach to modelling of recession curves
  16. Eighth Workshop on Mining and Learning with Graphs
  17. Mostly harmless econometrics? Statistical paradigms in the ‘top five’ from 2000 to 2018
  18. Learning and Re-learning from net- based cooperative learning discourses
  19. Using Heider’s Epistemology of Thing and Medium for Unpacking the Conception of Documents: Gantt Charts and Boundary Objects
  20. Topic Embeddings – A New Approach to Classify Very Short Documents Based on Predefined Topics
  21. Transfer operator-based extraction of coherent features on surfaces
  22. Optimising business performance with standard software systems
  23. Reality-Based Tasks with Complex-Situations
  24. On the Difficulty of Forgetting
  25. An experience-based learning framework
  26. Soft Skills for Hard Constraints
  27. Should learners use their hands for learning? Results from an eye-tracking study
  28. Influence of Process Parameters and Die Design on the Microstructure and Texture Development of Direct Extruded Magnesium Flat Products
  29. Introduction Mobile Digital Practices. Situating People, Things, and Data
  30. Integrating the underlying structure of stochasticity into community ecology