Literature DB >> 11088392

Physics of the rhythmic applause.

Z Néda1, E Ravasz, T Vicsek, Y Brechet, A L Barabási.   

Abstract

We report on a series of measurements aimed to characterize the development and the dynamics of the rhythmic applause in concert halls. Our results demonstrate that while this process shares many characteristics of other systems that are known to synchronize, it also has features that are unexpected and unaccounted for in many other systems. In particular, we find that the mechanism lying at the heart of the synchronization process is the period doubling of the clapping rhythm. The characteristic interplay between synchronized and unsynchronized regimes during the applause is the result of a frustration in the system. All results are understandable in the framework of the Kuramoto model.

Mesh:

Year:  2000        PMID: 11088392     DOI: 10.1103/physreve.61.6987

Source DB:  PubMed          Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics        ISSN: 1063-651X


  32 in total

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2.  Dynamics in hybrid complex systems of switches and oscillators.

Authors:  Dane Taylor; Elana J Fertig; Juan G Restrepo
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3.  Synchronization in complex oscillator networks and smart grids.

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Journal:  Proc Natl Acad Sci U S A       Date:  2013-01-14       Impact factor: 11.205

Review 4.  Topological portraits of multiscale coordination dynamics.

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Review 5.  The principles of collective animal behaviour.

Authors:  D J T Sumpter
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2006-01-29       Impact factor: 6.237

6.  Social coordination dynamics: measuring human bonding.

Authors:  Olivier Oullier; Gonzalo C de Guzman; Kelly J Jantzen; Julien Lagarde; J A Scott Kelso
Journal:  Soc Neurosci       Date:  2008       Impact factor: 2.083

7.  How to suppress undesired synchronization.

Authors:  V H P Louzada; N A M Araújo; J S Andrade; H J Herrmann
Journal:  Sci Rep       Date:  2012-09-17       Impact factor: 4.379

8.  Three people can synchronize as coupled oscillators during sports activities.

Authors:  Keiko Yokoyama; Yuji Yamamoto
Journal:  PLoS Comput Biol       Date:  2011-10-06       Impact factor: 4.475

9.  Measuring group synchrony: a cluster-phase method for analyzing multivariate movement time-series.

Authors:  Michael J Richardson; Randi L Garcia; Till D Frank; Madison Gergor; Kerry L Marsh
Journal:  Front Physiol       Date:  2012-10-19       Impact factor: 4.566

10.  A spatially explicit model of synchronization in fiddler crab waving displays.

Authors:  Sabrina Borges Lino Araujo; Ana C Rorato; Daniela M Perez; Marcio R Pie
Journal:  PLoS One       Date:  2013-03-06       Impact factor: 3.240

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