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[해외논문] Stars inside have reached outside: The effects of electronic dance music DJs’ social standing and musical identity on track success 원문보기

PLoS ONE, v.16 no.8, 2021년, pp.e0254618 -   

Wi, Hyeongseok (Graduate School of Culture Technology, Korea Advanced Institute of Science and Technology, Daejeon, Korea) ,  Lee, Wonjae (Graduate School of Culture Technology, Korea Advanced Institute of Science and Technology, Daejeon, Korea)

Abstract AI-Helper 아이콘AI-Helper

The social standing of an artist provides a reliable proxy for the value of the artist’s product and reduces uncertainty about the quality of the product. While there are several different types of social standing, we focus on reputation among professional artists within the same genre, as the...

참고문헌 (92)

  1. 1 DiMaggio P , Louch H . Socially embedded consumer transactions: for what kinds of purchases do people most often use networks? Am Sociol Rev . 1998 ; Volume 63 : 619 – 637 . doi: 10.2307/2657331 

  2. 2 Karpik L . The economics of singularities . Princeton University Press , Princeton ; 2010 . 

  3. 3 Podolny JM . A status-based model of market competition . Am J Sociol . 1993 ; 98 ( 4 ): 829 – 872 . doi: 10.1086/230091 

  4. 4 Jones C , Svejenova S , Pedersen JS , Townley B . Misfits, mavericks and mainstreams: Drivers of innovation in the creative industries . Sage Publications Sage UK . London, England ; 2016 . 

  5. 5 Giuffre K . Sandpiles of opportunity: Success in the art world . Soc Forces . 1999 ; 77 ( 3 ): 815 – 832 . doi: 10.2307/3005962 

  6. 6 Uzzi B , Lancaster R . Embeddedness and price formation in the corporate law market . Am Sociol Rev . 2004 ; 69 ( 3 ): 319 – 344 . doi: 10.1177/000312240406900301 

  7. 7 Yogev T . The social construction of quality: status dynamics in the market for contemporary art . Socioecon Rev . 2010 ; 8 ( 3 ): 511 – 536 . doi: 10.1093/ser/mwp030 

  8. 8 Lena JC , Peterson RA . Classification as culture: Types and trajectories of music genres . Am Sociol Rev . 2008 ; 73 ( 5 ): 697 – 718 . doi: 10.1177/000312240807300501 

  9. 9 Pachucki MA , Breiger RL . Cultural holes: Beyond relationality in social networks and culture . Annu Rev Sociol . 2010 ; 36 : 205 – 224 . doi: 10.1146/annurev.soc.012809.102615 

  10. 10 Janosov M , Musciotto F , Battiston F , Iñiguez G . Elites, communities and the limited benefits of mentorship in electronic music . Sci Rep . 2020 ; 10 ( 1 ): 3136 . doi: 10.1038/s41598-020-60055-w 32081912 

  11. 11 Beckert J . The social order of markets . Theor Soc . 2009 ; 38 ( 3 ): 245 – 269 . doi: 10.1007/s11186-008-9082-0 

  12. 12 Klamer A . The value of culture: On the relationship between economics and arts . Amsterdam University Press ; 1996 . 

  13. 13 Godart F . The power structure of the fashion industry: Fashion capitals, globalization and creativity . Int J Fashion Stud . 2014 ; 1 ( 1 ): 39 – 55 . doi: 10.1386/infs.1.1.39_1 

  14. 14 Rossman G , Esparza N , Bonacich P . I’d like to thank the Academy, team spillovers, and network centrality . Am Sociol Rev . 2010 ; 75 ( 1 ): 31 – 51 . doi: 10.1177/0003122409359164 

  15. 15 Askin N , Mauskapf M . What makes popular culture popular? Product features and optimal differentiation in music . Am Sociol Rev . 2017 ; 82 ( 5 ): 910 – 944 . doi: 10.1177/0003122417728662 

  16. 16 Becker HS . Art worlds and social types . Am Behav Sci . 1976 ; 19 ( 6 ): 703 – 718 . doi: 10.1177/000276427601900603 

  17. 17 Becker HS . Art as collective action . Art and Society Readings in the Sociology of the Arts . 1989 : 41 – 54 . 

  18. 18 Bourdieu P . The forms of capital. Handbook of theory and research for the sociology of education . Richardson JG . New York , Greenwood . 1986 ; 241 ( 258 ): 19 . 

  19. 19 Jyrämä A . Contemporary art markets: Structure and practices . A study on art galleries in Finland . Sweden, France, and Great Britain : Helsinki School of Economics ; 1999 . 

  20. 20 Salganik MJ , Watts DJ . Web-based experiments for the study of collective social dynamics in cultural markets . Top Cogn Sci . 2009 ; 1 ( 3 ): 439 – 468 . doi: 10.1111/j.1756-8765.2009.01030.x 25164996 

  21. 21 Podolny JM . Networks as the pipes and prisms of the market . Am J Sociol . 2001 ; 107 ( 1 ): 33 – 60 . doi: 10.1086/323038 

  22. 22 Zhao W , Zhou X . Status inconsistency and product valuation in the California wine market . Organ Sci . 2011 ; 22 ( 6 ): 1435 – 1448 . doi: 10.1287/orsc.1100.0597 

  23. 23 Lynn FB , Walker MH , Peterson C . Is popular more likeable? Choice status by intrinsic appeal in an experimental music market . Soc Psychol Q . 2016 ; 79 ( 2 ): 168 – 180 . doi: 10.1177/0190272516645603 

  24. 24 Karpetz J . Competitive Remix Practice and Networks of Support in Electronic Dance Music Economies . DC . 2014 ; 6 ( 2 ): 22 – 41 . doi: 10.12801/1947-5403.2014.06.02.02 

  25. 25 Goffman E . The presentation of self in everyday life . Harmondsworth London ; 1978 . 

  26. 26 Faulkner RR , Becker HS . “Do you know…?”: The jazz repertoire in action . University of Chicago Press ; 2009 . 

  27. 27 Bourdieu P . The field of cultural production: Essays on art and literature . Columbia University Press ; 1993 . 

  28. 28 Savage M . The musical field . Cult Trends . 2006 ; 15 ( 2–3 ): 159 – 174 . doi: 10.1080/09548960600712975 

  29. 29 White HC . Careers and creativity: Social forces in the arts . Routledge ; 2019 . 

  30. 30 Schmutz V . Social and symbolic boundaries in newspaper coverage of music, 1955–2005: Gender and genre in the US, France, Germany, and the Netherlands . Poetics . 2009 ; 37 ( 4 ): 298 – 314 . doi: 10.1016/j.poetic.2009.06.006 

  31. 31 Hargreaves DJ , Miell D , MacDonald RA . What are musical identities, and why are they important . Mus Identities . 2002 ; 2 : 1 – 20 . 

  32. 32 White HC . Identity and control: How social formations emerge . Princeton University Press ; 2008 . 

  33. 33 Frith S , Popular . Music: music and identity . Psychology Press ; 2004 . 

  34. 34 Zuckerman EW , Kim T-Y , Ukanwa K , Von Rittmann J . Robust identities or nonentities? Typecasting in the feature-film labor market . Am J Sociol . 2003 ; 108 ( 5 ): 1018 – 1073 . doi: 10.1086/377518 

  35. 35 Jensen M , Kim BK . Great, Madama Butterfly again! How robust market identity shapes opera repertoires . Organ Sci . 2013 ; 25 ( 1 ): 109 – 126 . 

  36. 36 Jaffe A . Scenes of Sympathy: Identity and Representation in Victorian Fiction . Cornell University Press ; 2018 . 

  37. 37 Hsu G . Jacks of all trades and masters of none: Audiences’ reactions to spanning genres in feature film production . Admin Sci Q . 2006 ; 51 ( 3 ): 420 – 450 . doi: 10.2189/asqu.51.3.420 

  38. 38 Freeman J , Hannan MT . Niche width and the dynamics of organizational populations . Am J Sociol . 1983 ; 88 ( 6 ): 1116 – 1145 . doi: 10.1086/227797 

  39. 39 Carroll GR . Concentration and specialization: Dynamics of niche width in populations of organizations . Am J Sociol . 1985 ; 90 ( 6 ): 1262 – 1283 . doi: 10.1086/228210 

  40. 40 van Venrooij A , Schmutz V . Categorical ambiguity in cultural fields: The effects of genre fuzziness in popular music . Poetics . 2018 ; 66 : 1 – 18 . doi: 10.1016/j.poetic.2018.02.001 

  41. 41 Noh S , Tolbert PS . Organizational identities of US art museums and audience reactions . Poetics . 2019 ; 72 : 94 – 107 . doi: 10.1016/j.poetic.2018.10.002 

  42. 42 Goldberg A , Hannan MT , Kovács B . What does it mean to span cultural boundaries? Variety and atypicality in cultural consumption . Am Sociol Rev . 2016 ; 81 ( 2 ): 215 – 241 . doi: 10.1177/0003122416632787 

  43. 43 Tortoriello M . The social underpinnings of absorptive capacity: The moderating effects of structural holes on innovation generation based on external knowledge . Strateg Manag J . 2015 ; 36 ( 4 ): 586 – 597 . doi: 10.1002/smj.2228 

  44. 44 McAndrew S , Widdop P , Stevenson R . 11 On jazz worlds . Soc Netw Music Worlds . 2014 ; 217 . 

  45. 45 Zhao EY , Fisher G , Lounsbury M , Miller D . Optimal distinctiveness: Broadening the interface between institutional theory and strategic management . Strateg Manag J . 2017 ; 38 ( 1 ): 93 – 113 . doi: 10.1002/smj.2589 

  46. 46 DiMaggio P . Cultural networks . The Sage handbook of social network analysis ; 2011 . pp. 286 – 310 . 

  47. 47 Slavich B , Castellucci F . Wishing upon a star: How apprentice-master similarity, status and career stage affect critics’ evaluations of former apprentices in the haute cuisine industry . Organ Stud . 2016 ; 37 ( 6 ): 823 – 843 . doi: 10.1177/0170840615622063 

  48. 48 Crossley N . The man whose web expanded: Network dynamics in Manchester’s post/punk music scene 1976–1980 . Poetics . 2009 ; 37 ( 1 ): 24 – 49 . doi: 10.1016/j.poetic.2008.10.002 

  49. 49 Uzzi B , Spiro J . Collaboration and creativity: The small world problem . Am J Sociol . 2005 ; 111 ( 2 ): 447 – 504 . doi: 10.1086/432782 

  50. 50 Granovetter MS . The Strength of Weak Ties . Am J Sociol . 1973 May 1 ; 78 ( 6 ): 1360 – 80 . doi: 10.1086/225469 

  51. 51 Burt RS . Structural holes and good ideas . Am J Sociol . 2004 ; 110 ( 2 ): 349 – 399 . doi: 10.1086/421787 

  52. 52 Tasselli S , Kilduff M , Menges JI . The microfoundations of organizational social networks: A review and an agenda for future research . J Manag . 2015 ; 41 ( 5 ): 1361 – 1387 . doi: 10.1177/0149206315573996 

  53. 53 Pinheiro DL , Dowd TJ . All that jazz: The success of jazz musicians in three metropolitan areas . Poetics . 2009 ; 37 ( 5–6 ): 490 – 506 . doi: 10.1016/j.poetic.2009.09.007 

  54. 54 Giaquinto G, Bledsoe C, McGuirk B. Influence and similarity between contemporary jazz artists, plus six degrees of kind of blue. Citeseer; 2007. PhD Dissertation. 

  55. 55 Lingo EL , O’Mahony S . Nexus work: Brokerage on creative projects . Admin Sci Q . 2010 ; 55 ( 1 ): 47 – 81 . doi: 10.2189/asqu.2010.55.1.47 

  56. 56 Coleman JS . Social capital in the creation of human capital . Am J Sociol . 1988 ; 94 : S95 – S120 . doi: 10.1086/228943 

  57. 57 Obstfeld D . Social networks, the tertius iungens orientation, and involvement in innovation . Admin Sci Q . 2005 ; 50 ( 1 ): 100 – 130 . doi: 10.2189/asqu.2005.50.1.100 

  58. 58 Uzzi B . Social structure and competition in interfirm networks: The paradox of embeddedness . Admin Sci Q . 1997 ; Volume 42 : 35 – 67 . doi: 10.2307/2393808 

  59. 59 Grandadam D, editor. Evolving networks and the finest in jazz. Creative Industries and Intellectual Property Conference; 2008. 

  60. 60 Smith RD . The network of collaboration among rappers and its community structure . J Stat Mech Theor Exp ; Volume 2006 : P02006 – P02006 . doi: 10.1088/1742-5468/2006/02/P02006 

  61. 61 Cattani G , Ferriani S . A core/periphery perspective on individual creative performance: Social networks and cinematic achievements in the Hollywood film industry . Organ Sci . 2008 ; 19 ( 6 ): 824 – 844 . doi: 10.1287/orsc.1070.0350 

  62. 62 Phillips DJ . Jazz and the disconnected: City structural disconnectedness and the emergence of a jazz canon, 1897–1933 . Am J Sociol . 2011 ; 117 ( 2 ): 420 – 483 . doi: 10.1086/661757 

  63. 63 Burt RS . Brokerage and closure: An introduction to social capital . Oxford University Press ; 2005 . 

  64. 64 Fleming L , Mingo S , Chen D . Collaborative brokerage, generative creativity, and creative success . Admin Sci Q . 2007 ; 52 ( 3 ): 443 – 475 . doi: 10.2189/asqu.52.3.443 

  65. 65 Baum JAC , McEvily B , Rowley TJ . Better with age? Tie longevity and the performance implications of bridging and closure . Organ Sci . 2012 ; 23 ( 2 ): 529 – 546 . doi: 10.1287/orsc.1100.0566 

  66. 66 Schilling MA , Phelps CC . Interfirm collaboration networks: The impact of large-scale network structure on firm innovation . Manag Sci . 2007 ; 53 ( 7 ): 1113 – 1126 . doi: 10.1287/mnsc.1060.0624 

  67. 67 Reagans R , McEvily B . Network structure and knowledge transfer: The effects of cohesion and range . Admin Sci Q . 2003 ; 48 ( 2 ): 240 – 267 . doi: 10.2307/3556658 

  68. 68 Krackhardt D , Kilduff M . Structure, culture and Simmelian ties in entrepreneurial firms . Soc Netw . 2002 ; 24 ( 3 ): 279 – 290 . doi: 10.1016/S0378-8733(02)00008-4 

  69. 69 Vedres B , Stark D . Structural folds: Generative disruption in overlapping groups . Am J Sociol . 2010 ; 115 ( 4 ): 1150 – 1190 . doi: 10.1086/649497 

  70. 70 Ter Wal AL , Alexy O , Block J , Sandner PG . The best of both worlds: The benefits of open-specialized and closed-diverse syndication networks for new ventures’ success . Admin Sci Q . 2016 ; 61 ( 3 ): 393 – 432 . doi: 10.1177/0001839216637849 27499546 

  71. 71 Sullivan DM , Ford CM . How entrepreneurs use networks to address changing resource requirements during early venture development . Entrep Theor Pract . 2014 ; 38 ( 3 ): 551 – 574 . doi: 10.1111/etap.12009 

  72. 72 Padgett JF , Powell WW . The emergence of organizations and markets . Princeton University Press ; 2012 . 

  73. 73 Silver D , Lee M , Childress CC . Genre complexes in popular music . PLOS ONE . 2016 ; 11 ( 5 ): e0155471 . doi: 10.1371/journal.pone.0155471 27203852 

  74. 74 McLeod K . Genres, subgenres, sub-subgenres and more: Musical and social differentiation within electronic/dance music communities . J Popul Music Stud . 2001 ; 13 ( 1 ): 59 – 75 . doi: 10.1111/j.1533-1598.2001.tb00013.x 

  75. 75 Knees P, Faraldo Pérez Á, Boyer H, Vogl R, Böck S, Hörschläger F, et al., editors. Two data sets for tempo estimation and key detection in electronic dance music annotated from user corrections. Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR); 2015 Oct 26–30; Málaga, Spain. [Málaga]: International Society for Music. Inf Retrieval. 2015 p: 364–370: International Society for Music Information Retrieval (ISMIR). 

  76. 76 Honingh A , Panteli M , Brockmeier T , López Mejía DI , Sadakata M . Perception of timbre and rhythm similarity in electronic dance music . J New Music Res . 2015 ; 44 ( 4 ): 373 – 390 . doi: 10.1080/09298215.2015.1107102 

  77. 77 Reynolds S . Energy flash: A journey through rave music and dance culture . Faber & Faber ; 2013 . 

  78. 78 Faraldo A, Jorda S, Herrera P, editors. A multi-profile method for key estimation in EDM. Audio Eng Soc Conference AES International Conference on Semantic Audio. Audio Engineering Society; 2017. 

  79. 79 Freeman LC . A set of measures of centrality based on betweenness . Sociometry . 1977 ; Volume 40 : 35 – 41 . doi: 10.2307/3033543 

  80. 80 Everett M , Borgatti SP . Ego network betweenness . Soc Netw . 2005 ; 27 ( 1 ): 31 – 38 . doi: 10.1016/j.socnet.2004.11.007 

  81. 81 Wasserman S , Faust K . Social network analysis: Methods and applications . Cambridge University Press ; 1994 . 

  82. 82 Hanneman RA , Riddle M . Concepts and measures for basic network analysis . The SAGE handbook of social network analysis ; 2011 . pp. 340 – 369 . 

  83. 83 Watts DJ , Strogatz SH . Collective dynamics of‘small-world’networks . Nature . 1998 ; 393 ( 6684 ): 440 – 442 . doi: 10.1038/30918 9623998 

  84. 84 Hausman JA, Hall BH, Griliches Z. Econometric models for count data with an application to the patents-R&D relationship. National Bureau of Economic Research Cambridge, MA, USA; 1984. 

  85. 85 England P, Allison P, Li S, Mark N, Thompson J, Budig M, et al. Why are some academic fields tipping toward female? The sex composition of US fields of doctoral degree receipt, Institute for Policy Research, Northwestern …; 2003; 1971–1998. Working Paper WP-03–12. 

  86. 86 Csardi G , Nepusz T . The igraph software package for complex network research . InterJournal, complex systems . 2006 ;1695; 5 : 1 – 9 . 

  87. 87 Peterson RA . The rise and fall of highbrow snobbery as a status marker . Poetics . 1997 ; 25 ( 2–3 ): 75 – 92 . doi: 10.1016/S0304-422X(97)00013-2 

  88. 88 VanderWeele TJ , An W . Social Networks and Causal Inference . In Morgan SL , editor. Handbook of Causal Analysis for Social Research. Handbooks of Sociology and Social . Research: Springer Netherlands ; 2013 . pp. 353 – 374 . 

  89. 89 Aral S , Muchnik L , Sundararajan A . Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks . Proc Natl Acad Sci U S A . 2009 ; 106 ( 51 ): 21544 – 21549 . doi: 10.1073/pnas.0908800106 20007780 

  90. 90 Anagnostopoulos A, Kumar R, Mahdian M, editors. Influence and correlation in social networks. Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining. Ac Med. 2008. 

  91. 91 Blackwell M , Iacus S , King G , Porro G . cem: Coarsened exact matching in Stata . The Stata Journal . 2009 ; 9 ( 4 ): 524 – 546 . doi: 10.1177/1536867X0900900402 

  92. 92 Scott WR , Ruef M , Mendel P , Caronna C . Institutional change and healthcare organizations: From professional dominance to managed care . Contemp Sociol . 2001 ; 47 ( 2 ). 

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