Social and nonlinear dynamics unite: Musical group synchrony

Demos, Alexander P.; Palmer, Caroline

doi:10.31234/osf.io/nwy27

Cited by 3 publications

(2 citation statements)

References 60 publications

(81 reference statements)

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“…Farrera and Ramos-Fernández (2022) describe a phenomenon of emergent collective rhythm (like the collective "wave") as the emergence of "group-level rhythmic patterns" that result from the self-organization of social behavior through entrainment and synchronization (Farrera & Ramos-Fernández, 2022). This social behavior is characterized by "context-specific interactions" and mutual "fast adaptation to other group members" actions' (Demos & Palmer, 2022). This coordinated crowd behavior at sporting events can include both the physical movement of the crowd and variations of coordinated or rhythmic auditory signals generated by their cheers and chants.…”

Section: Introductionmentioning

confidence: 99%

“…The question of synchrony or other forms of coordination during large group interactions has been investigated in the relatively structured social interactions of musical participation, and increasingly, it is being recognized that the behavior of a large interacting group may not be wholly explained by description of local interactions alone, but rather by description of the emergent dynamics of the group itself (Demos & Palmer, 2022;Høffding et al, 2023;Schiavio, Maes, & van der Schyff, 2022). We argue that the methods used to study these musical social interactions (from coordination dynamics and dynamical systems, c.f.…”

Section: Introductionmentioning

confidence: 99%

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Recurrence Quantification Analysis of Crowd Sound Dynamics

Proksch,

Reeves,

Gee

et al. 2023

Cognitive Science

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When multiple individuals interact in a conversation or as part of a large crowd, emergent structures and dynamics arise that are behavioral properties of the interacting group rather than of any individual member of that group. Recent work using traditional signal processing techniques and machine learning has demonstrated that global acoustic data recorded from a crowd at a basketball game can be used to classify emergent crowd behavior in terms of the crowd's purported emotional state. We propose that the description of crowd behavior from such global acoustic data could benefit from nonlinear analysis methods derived from dynamical systems theory. Such methods have been used in recent research applying nonlinear methods to audio data extracted from music and group musical interactions. In this work, we used nonlinear analyses to extract features that are relevant to the behavioral interactions that underlie acoustic signals produced by a crowd attending a sporting event. We propose that recurrence dynamics measured from these audio signals via recurrence quantification analysis (RQA) reflect information about the behavioral dynamics of the crowd itself. We analyze these dynamics from acoustic signals recorded from crowds attending basketball games, and that were manually labeled according to the crowds' emotional state across six categories: angry noise, applause, cheer, distraction noise, positive chant, and negative chant. We show that RQA measures are useful to differentiate the emergent acoustic behavioral dynamics between these categories, and can provide insight into the recurrence patterns that underlie crowd interactions.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Recurrence Quantification Analysis of Crowd Sound Dynamics

Proksch,

Reeves,

Gee

et al. 2023

Cognitive Science

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The evolution of social timing

Verga

Kotz

Ravignani

2023

Physics of Life Reviews

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Trade-offs in Coordination Strategies for Duet Jazz Performances Subject to Network Delay and Jitter

Cheston,

Cross,

Harrison

2024

Music Perception: An Interdisciplinary Journal

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Coordination between participants is a necessary foundation for successful human interaction. This is especially true in group musical performances, where action must often be temporally coordinated between the members of an ensemble for their performance to be effective. Networked mediation can disrupt this coordination process by introducing a delay between when a musical sound is produced and when it is received. This can result in significant deteriorations in synchrony and stability between performers. Here we show that five duos of professional jazz musicians adopt diverse strategies when confronted by the difficulties of coordinating performances over a network—difficulties that are not exclusive to networked performance but are also present in other situations (such as when coordinating performances over large physical spaces). What appear to be two alternatives involve: 1) one musician being led by the other, tracking the timings of the leader’s performance; or 2) both musicians accommodating to each other, mutually adapting their timing. During networked performance, these two strategies favor different sides of the trade-off between, respectively, tempo synchrony and stability; in the absence of delay, both achieve similar outcomes. Our research highlights how remoteness presents new complexities and challenges to successful interaction.

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Social and nonlinear dynamics unite: Musical group synchrony

Cited by 3 publications

References 60 publications

Recurrence Quantification Analysis of Crowd Sound Dynamics

Recurrence Quantification Analysis of Crowd Sound Dynamics

The evolution of social timing

Trade-offs in Coordination Strategies for Duet Jazz Performances Subject to Network Delay and Jitter

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