Fig 1.
Group synchrony of movement over time during a music set at a dance club.
Movement data from participants at the event were preprocessed and analyzed using z-aligned axis combination, linear interpolation, averaging downsampling, coif1 wavelet decomposition, and intersubject phase synchronization. The group movement synchrony time course is divided into the songs played during the music set and segmented into the different parts of a song, including intro and outro, verse, pre-chorus and bridge, chorus, and interlude.
Fig 2.
Relationship between group synchrony of movement and song popularity.
Play counts from music websites and applications for each song are plotted against their average intersubject phase synchronization values.
Table 1.
Song synchrony and music popularity.
Fig 3.
Relationship between group synchrony of movement and different features of the music.
Values over the duration of the music set are plotted for intersubject phase synchronization and metrical centroid or speed of pulsations, metrical strength or clarity of pulsations, spectral irregularity or variability, sensory dissonance or roughness, and high-frequency spectral flux or liveliness.