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How does Europe Make Its Mind Up? Connections, cliques, and compatibility between countries in the Eurovision Song Contest

Author

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  • Fenn, Daniel
  • Suleman, Omer
  • Efstathiou, Janet
  • Johnson, Neil F.

Abstract

We investigate the complex relationships between countries in the Eurovision Song Contest, by recasting past voting data from 1992–2003 in terms of a dynamical network. Our analysis shows that the UK is remarkably compatible, or ‘in tune’, with other European countries during the period of study. Equally surprising is our finding that some other core countries, most notably France, are significantly ‘out of tune’ with the rest of Europe during the same period. In addition, our analysis enables us to confirm a widely-held belief that there are unofficial cliques of countries; however, these cliques are not always the expected ones, nor can their existence be explained solely on the grounds of geographical proximity. The complexity in this system emerges via the group ‘self-assessment’ process, and in the absence of any central controller. One might therefore speculate that such complexity is representative of many real-world situations in which groups of ‘agents’ establish their own inter-relationships and hence ultimately decide their own fate. Possible examples include groups of individuals, societies, political groups or even governments.

Suggested Citation

  • Fenn, Daniel & Suleman, Omer & Efstathiou, Janet & Johnson, Neil F., 2006. "How does Europe Make Its Mind Up? Connections, cliques, and compatibility between countries in the Eurovision Song Contest," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 360(2), pages 576-598.
  • Handle: RePEc:eee:phsmap:v:360:y:2006:i:2:p:576-598
    DOI: 10.1016/j.physa.2005.06.051
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    References listed on IDEAS

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    1. Johnson, Neil F. & Jefferies, Paul & Hui, Pak Ming, 2003. "Financial Market Complexity," OUP Catalogue, Oxford University Press, number 9780198526650.
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    Cited by:

    1. L. Bottazzi & M. Da Rin & T. Hellmann, 2007. "The Importance of Trust for Investment: Evidence from Venture Capital," Working Papers 612, Dipartimento Scienze Economiche, Universita' di Bologna.
    2. Felbermayr, Gabriel J. & Toubal, Farid, 2010. "Cultural proximity and trade," European Economic Review, Elsevier, vol. 54(2), pages 279-293, February.
    3. repec:hal:journl:halshs-00641280 is not listed on IDEAS
    4. Gustedt, Jens & Raghavan, Hari K. & Schimit, Pedro, 2011. "Exploring the random genesis of co-occurrence networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(9), pages 1516-1528.
    5. Frank, Björn & Krabel, Stefan, 2013. "Gens una sumus?!—Or does political ideology affect experts’ esthetic judgment of chess games?," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 66-78.
    6. Sofronis Clerides & Thanasis Stengos, 2012. "Love thy Neighbour, Love Thy Kin: Strategy and Bias in the Eurovision Song Contest," Ekonomia, Cyprus Economic Society and University of Cyprus, vol. 15(1), pages 22-44, Summer.
    7. Saavedra, Serguei & Efstathiou, Janet & Reed-Tsochas, Felix, 2007. "Identifying the underlying structure and dynamic interactions in a voting network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 377(2), pages 672-688.
    8. repec:kap:jculte:v:41:y:2017:i:4:d:10.1007_s10824-016-9272-y is not listed on IDEAS
    9. Saban, Daniela & Bonomo, Flavia & Stier-Moses, Nicolás E., 2010. "Analysis and models of bilateral investment treaties using a social networks approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(17), pages 3661-3673.

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    Keywords

    Networks; Dynamics; Cliques; Clustering; Culture;

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