Lagged Multidimensional Recurrence Quantification Analysis for Determining Leader–Follower Relationships Within Multidimensional Time Series
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
Standard
in: Psychological Methods, 10.10.2024.
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
Harvard
APA
Vancouver
Bibtex
}
RIS
TY - JOUR
T1 - Lagged Multidimensional Recurrence Quantification Analysis for Determining Leader–Follower Relationships Within Multidimensional Time Series
AU - Tomashin, Alon
AU - Gordon, Ilanit
AU - Leonardi, Giuseppe
AU - Berson, Yair
AU - Milstein, Nir
AU - Ziegler, Matthias
AU - Hess, Ursula
AU - Wallot, Sebastian
N1 - Publisher Copyright: © 2024 The Author(s)
PY - 2024/10/10
Y1 - 2024/10/10
N2 - 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.
AB - 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.
KW - joint action
KW - leader–follower dynamics
KW - multidimensional recurrence quantification analysis
KW - multivariate time series
KW - Psychology
UR - http://www.scopus.com/inward/record.url?scp=85206660437&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/540a62d1-58b8-357b-b725-6fc1fbb37a04/
U2 - 10.1037/met0000691
DO - 10.1037/met0000691
M3 - Journal articles
C2 - 39388104
AN - SCOPUS:85206660437
JO - Psychological Methods
JF - Psychological Methods
SN - 1082-989X
ER -