The dynamics of audience applause

Journal of the Royal Society Interface

Volumn 10, Issue 85, 2013, Pages

  Mann, Richard P ^a,b   Faria, Jolyon ^c   Sumpter, David J T ^a,b   Krause, Jens ^d  

^a UPPSALA UNIVERSITY   (Sweden)

^b Institute for Futures Studies Stockholm   (Sweden)

^c UNIVERSITY OF LEEDS   (United Kingdom)

^d LEIBNIZ INSTITUTE OF FRESHWATER ECOLOGY AND INLAND FISHERIES   (Germany)

Author keywords

Applause; Bayesian model selection; Clapping; SIR model; Social contagion

Indexed keywords

BAYESIAN NETWORKS; BEHAVIORAL RESEARCH; STATISTICAL TESTS;

APPLAUSE; BAYESIAN MODEL SELECTION; CLAPPING; SIR MODEL; SOCIAL CONTAGION;

QUALITY CONTROL;

APPLAUSE; ARTICLE; ASSOCIATION; ATTENTION; DYNAMICS; HUMAN; MATHEMATICAL MODEL; SIMULATION; SOCIAL BEHAVIOR; TIME;

EID: 84880065476     PISSN: 17425689     EISSN: 17425662     Source Type: Journal    
DOI: 10.1098/rsif.2013.0466     Document Type: Article

References (33)

1. Bikhchandani S, Hirshleifer D, Welch I. 1992 A theory of fads, fashion, custom, and cultural change as informational cascades. J. Polit. Econ. 100, 992-1026. (doi:10.1086/261849)
2. Salganik M et al. 2006 Experimental study of inequality and unpredictability in an artificial cultural market. Science 311, 854-856. (doi:10.1126/science.1121066)
3. Hedstrom P, Liu K-Y, Nordvik MK. 2008 Interaction domains and suicide: a population-based panel study of suicides in Stockholm, 1991-1999. Social Forces 87, 713-740. (doi:10.1353/sof.0.0130)
4. Suchecki K, Eguíluz V, San Miguel M. 2005 Voter model dynamics in complex networks: role of dimensionality, disorder, and degree distribution. Phys. Rev. E 72, 036132. (doi:10.1103/PhysRevE.72.036132)
5. Castellano C, Fortunato S, Loreto V. 2009 Statistical physics of social dynamics. Rev. Mod. Phys. 81, 591-646. (doi:10.1103/RevModPhys.81.591)
6. Ugander J, Backstrom L, Marlow C, Kleinberg J. 2012 Structural diversity in social contagion. Proc. Natl Acad. Sci. USA 109, 5962-5966. (doi:10.1073/pnas.1116502109)
7. Gallup A, Hale JJ, Sumpter DJT, Garnier S, Kacelnik A, Krebs JR, Couzin ID. 2012 Visual attention and the acquisition of information in human crowds. Proc. Natl Acad. Sci. USA 109, 7245-7250. (doi:10.1073/pnas.1116141109)
8. Hedstrom P. 2005 Dissecting the social: on the principles of analytical sociology. Cambridge, UK: Cambridge University Press.
9. Eagle N, Pentland A. 2006 Reality mining: sensing complex social systems. Personal and Ubiquitous Computing 10, 255-268. (doi:10.1007/s00779-005-0046-3)
10. Song C, Qu Z, Blumm N, Barabasi A-L. 2010 Limits of predictability in human mobility. Science 327, 1018-1021. (doi:10.1126/science.1177170)
11. Néda Z, Ravasz E, Vicsek T, Brechet Y, Barabási A. 2000 Physics of the rhythmic applause. Phys. Rev. E 61, 6987-6992. (doi:10.1103/PhysRevE.61.6987)
12. Néda Z, Ravasz E, Brechet Y, Vicsek T, Barabási A-L. 2000 Self-organizing processes: the sound of many hands clapping. Nature 403, 849-850. (doi:10.1038/35002660)
13. Penny W, Stephan KE, Daunizeau J, Rosa MJ, Friston KJ, Schofield TM, Leff AP, Kording KP. 2010 Comparing families of dynamic causal models. PLOS Comput. Biol. 6, e1000709. (doi:10.1371/journal.pcbi.1000709)
14. Mann RP. 2011 Bayesian inference for identifying interaction rules in moving animal groups. PLoS ONE 6, e22827. (doi:10.1371/journal.pone.0022827)
15. Mann RP, Perna A, Strömbom D, Garnett R, Herbert-Read JE, Sumpter DJT, Ward AJW. 2013 Multi-scale inference of interaction rules in animal groups using Bayesian model selection. PLOS Comput. Biol. 9, e1002961. (doi:10.1371/journal.pcbi.1002961)
16. Gautrais J, Ginelli F, Fournier R, Blanco S, Soria M, Chaté H, Theraulaz G, Levin SA. 2012 Deciphering interactions in moving animal groups. PLOS Comput. Biol. 8, e1002678. (doi:10.1371/journal.pcbi.1002678)
17. Sumpter DJT, Mann RP, Perna A. 2012 The modelling cycle in collective animal behaviour. Interface Focus 2, 764-773. (doi: 10.1098/rsfs.2012.0031)
18. Lorenz J, Rauhut H, Schweitzer F, Helbing D. 2011 How social influence can undermine the wisdom of crowd effect. Proc. Natl Acad. Sci. USA 108, 9020-9025. (doi:10.1073/pnas.1008636108)
19. Katz Y, Tunstrom K, Ioannou CC, Huepe C, Couzin ID. 2011 Inferring the structure and dynamics of interactions in schooling fish. Proc. Natl Acad. Sci. USA 108, 18 720-18 725. (doi:10.1073/pnas.1107583108)
20. Herbert-Read JE et al. 2011 Inferring the rules of interaction of shoaling fish. Proc. Natl Acad. Sci. USA 108, 18 726-18 731. (doi:10.1073/pnas.1109355108)
21. Kermack W, McKendrick A. 1991 Contributions to the mathematical-theory of epidemics 0.1. (reprinted from Proc. R. Soc. A 115, 700-721, 1927). Bull. Math. Biol. 53, 33-55.
22. Granovetter M. 1978 Threshold models of collective behavior. Am. J. Sociol. 83, 1420-1443. (doi:10.1086/226707)
23. Sumpter DJT, Pratt SC. 2009 Quorum responses and consensus decision making. Phil. Trans. R. Soc. B 364, 743-753. (doi:10.1098/rstb.2008.0204)
24. Meunier H, Leca J-B, Deneubourg J-L, Petit O. 2006 Group movement decisions in capuchin monkeys: the utility of an experimental study and a mathematical model to explore the relationship between individual and collective behaviours. Behaviour 143, 1511-1527. (doi:10.1163/156853906779366982)
25. Daley D, Kendall DJ. 1965 Stochastic rumours. J. Inst. Math. Appl. 1, 42-55. (doi:10.1093/imamat/1.1.42)
26. Hedström P, Bearman P. 2011 The Oxford handbook of analytical sociology. Oxford, UK: Oxford University Press.
27. Manski CF. 2000 Economic analysis of social interactions, National Bureau of Economic Research Working Paper 7580.
28. Van den Bulte C, Lilien GL. 2001 Medical innovation revisited: social contagion versus marketing effort. Am. J. Sociol. 106, 1409-1435. (doi:10.1086/320819)
29. Goldstone RL, Gureckis TM. 2009 Collective Behavior. Top. Cogn. Sci. 1, 412-438. (doi:10.1111/j.1756-8765.2009.01038.x)
30. Schweitzer F, Mach R. 2008 The epidemics of donations: logistic growth and power-laws. PLoS ONE 3, e1458. (doi:10.1371/journal.pone.0001458)
31. Jaynes ET. 2003 Probability theory: the logic of science. Cambridge, UK: Cambridge University Press.
32. Mäs M, Flache A, Helbing D, Bergstrom CT. 2010 Individualization as driving force of clustering phenomena in humans. PLOS Comput. Biol. 6, e1000959. (doi:10.1371/journal.pcbi.1000959)
33. MacKay D. 2003 Information theory, inference, and learning algorithms. Cambridge, UK: Cambridge University Press.