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Diffusion paths between product life-cycles in the European phonographic market

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Języki publikacji
EN
Abstrakty
EN
We have investigated the product life-cycles of almost 17 000 hit singles having appeared on the 12 biggest national phonographic markets in Europe including: Austria, Belgium, France, Germany, Ireland, Italy, Netherlands, Norway, Spain, Switzerland, Sweden, and the United Kingdom. We have considered weekly singles charts from the last 50 years (1966-2015) in each country. We analyzed the spread of hit singles popularity (chart topping) as an epidemiological process, taking place in various European countries. Popularity of the hit singles is contagious in the sense of moving from one country to another. Thus, we consider time delays between the initial hit single release and reaching the highest position on consecutive national singles charts. We create a directed network of countries, this network representing the transmission of the hit singles popularity between countries. This is obtained by simulating the most likely paths and picking up the most frequent links. A country of initial hit single release is considered as a source of infection. Our algorithm builds up the spanning trees by attaching new nodes. The probability of attachment depends on infectivity of previous nodes from the tree corresponding to their: 1) market size; 2) distance in time between the new node and the potential spreaders. Thus, we obtain a network of popularity spread with: a hub – the UK, a bridge – the Netherlands, and outliers – Italy and Spain. We have found a characteristic topology of hit singles popularity spread. On the top of this, the network of popularity spread has some typical properties of complex networks.
Rocznik
Strony
225--237
Opis fizyczny
Bibliogr. 17 poz., rys.
Twórcy
  • Institute of Interdisciplinary Research, Wrocl aw, Poland
autor
  • Smoluchowski Institute of Physics, Jagiellonian University, Cracow, Poland
Bibliografia
  • [1] Anderson, R.M., May, R. (1992) Infectious Diseases of Humans: Dynamics and Control. Oxford University Press, Oxford.
  • [2] Boss, M., Elsinger, H., Summer, M., Thurner, S. (2004) Network topology of the interbank market. Quantitative Finance, 4(6), 677-684.
  • [3] Buda, A. (2006) Historia rocka, popu i hip-hopu: wed lug krytyk´ow 1974-2006 (The history of rock, pop and hip-hop: according to the critics; in Polish). A. Wydawnictwo Niezalezne.
  • [4] Buda, A. (2012) Does pop music exist? Hierarchical structure in phonographic markets. Physica A 391 (21).
  • [5] Buda, A., Jarynowski, A. (2013) Network structure of phonographic market with characteristic similarities between artists. Acta Physica Polonica A, 123 (3).
  • [6] Buda, A. Jarynowski, A. (2015) Exploring patterns in European singles charts. Network Intelligence Conference (ENIC), 2015 Second European, 135-139.
  • [7] Chojnacki, S., K lopotek, M. A. (2011) Random graph generator for bipartite networks modeling. Control & Cybernetics, 40(3).
  • [8] De Nooy, W., Mrvar, A., & Batagelj, V. (2011) Exploratory Social Network Analysis with Pajek. Structural Analysis in the Social Sciences, 27. Cambridge University Press.
  • [9] Fronczak, A., Fronczak, P. (2009) Świat sieci złożonych: od fizyki do Internetu (The world of complex networks: from physics to Internet; in Polish). Wydawnictwo Naukowe PWN.
  • [10] Jarynowski, A., Buda, A. (2014) Dynamics of popstar record sales on phonographic market – stochastic model. Acta Physica Polonica B (PS) 2 (7).
  • [11] Leskovec, J., Adamic, L. and Huberman, B. (2007) The dynamics of viral marketing. ACM Trans. Web, 1, 1.
  • [12] Morzy, M., Wierzbicki, A., and Papadopoulos, A. N. (2009) Mining online auction social networks for reputation and recommendation. Control and Cybernetics, 38(1), 87-106.
  • [13] Owsinski J.W. (1981) Intuition vs. formalization: local and global criteria of grouping. Control and Cybernetics, 10 (1-2), 73-88.
  • [14] Paulus, M. and Kristoufek, L. (2015) Worldwide clustering of the corruption perception. Physica A: Statistical Mechanics and its Applications 428, 351-358.
  • [15] Przybyła, P., Sznajd-Weron, K. and Weron, R. (2014) Diffusion of innovation within an agent-based model: Spinsons, independence and advertising. Advances in Complex Systems, 17(01), 1450004.
  • [16] Rogers, E.M. (1962) Diffusion Of Innovations (1st ed.). Free Press of Glencoe, New York.
  • [17] Zbieg, A., ˙Zak, B., Jankowski, J., Michalski, R. and Ciuberek, S. (2012) Studying Diffusion of Viral Content at Dyadic Level. ASONAM 2012. Istanbul.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-cbffa945-06b8-47df-b315-da88efa744d3
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