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Network Structure of Phonographic Market with Characteristic Similarities between Artists

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We investigate relations between bestselling artists in last decade on phonographic market and from perspective of listeners by using the Social Network Analyzes. Starting network is obtained from the matrix of correlations between the world's bestselling artists by considering the synchronous time evolution of weekly record sales. This method reveals the structure of phonographic market, but we claim that it has no impact on people who see relationship between artists and music genres. We compare "sale" (based on correlation of record sales) or "popularity" (based on data mining of the record charts) networks with "similarity" (obtained mainly from survey within music experts' opinion) and find no significant relations. We postulate that non-laminar phenomena on this specific market introduce turbulence to how people view relations of artists.
  • Wydawnictwo Niezależne, Oriona 15/8, 67-200 Głogów, Poland
  • Smoluchowski Institute of Physics, Jagiellonian University, W.S. Reymonta 4, 30-059 Kraków, Poland
  • Department of Sociology, Stockholm University, Universitetsvägen 10 B: plan 9, SE-106 91, Stockholm, Sweden
  • [1] The IFPI Report Recording Industry in Numbers, IFPI 2010
  • [2] The Perfect Blues Collection [booklet], Sony 2011
  • [3] The IFPI Record Industry in Numbers 2012 Edition, IFPI 2012
  • [4]
  • [5] P. Audley, M. Boyer, The Value of Music to Commercial Radio Stations, Society For Economic Research On Copyright Issues, Berlin 2007
  • [6] United Nations Developed Programme, Human Development Report, 2007/2008
  • [7] A. North, A. Shilcock, D. Hargreaves, Environment Behaviour 35, No. 5 (2003)
  • [8] Valuing the Use of Recorded Music, PriceWaterhouse Cooopers Report, Australia 2008
  • [9] J. Park, O. Celma, M. Koppenberger, P. Cano, M.J. Buldú, Int. J. Bifurcat. Chaos 17, 2281 (2007)
  • [10] A. Buda, doi: 10.1016/j.physa.2012.05.057, Physica A 391, 5153 (2012)
  • [11] A. Buda, History Of Rock, Pop And Hip-hop According To Critics Polls, Wydawnictwo Niezależne, Wrocław 2006 (in Polish)
  • [12] P. Cano, O. Celma, M. Koppenberger, doi: 10.1063/1.2137622, Chaos 16, 013107 (2006)
  • [13] J. Kwapień, S. Drożdż, doi: 10.1016/j.physrep.2012.01.007, Phys. Rep. 515, 115 (2012)
  • [14] A. Buda, A. Jarynowski, Life-Time of Correlations and Its Applications, Wydawnictwo Niezależne, Wrocław 2010
  • [15] W.E. Cox, J. Business 40, 375 (1967)
  • [16] B.C. Twiss, J. Prod. Innovat. Manag. 1, 19 (1984)
  • [17] R. Mantegna, doi: 10.1007/s100510050929, Eur. Phys. J. B 11, 193 (1999)
  • [18] M. Tsvetovat, A. Kouznetsov, Social Network Analysis for Startups. Finding Connections on the Social Web, O'Reilly Media, Sebastopol 2011
  • [19] S. Ghashghaie, W. Breymann, J. Peinke, P. Talkner, P. Scherrer, doi: 10.1038/381767a0, Nature 381, 767 (1996)
  • [20] R. Mantegna, H.E. Stanley, doi: 10.1038/383587a0, Nature 383, 587 (1996)
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