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Identifying the underlying structure and dynamic interactions in a voting network

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  • Saavedra, Serguei
  • Efstathiou, Janet
  • Reed-Tsochas, Felix

Abstract

We analyse the structure and behaviour of a specific voting network using a dynamic structure-based methodology which draws on Q-Analysis and social network theory. Our empirical focus is on the Eurovision Song Contest over a period of 20 years. For a multicultural contest of this kind, one of the key questions is how the quality of a song is judged and how voting groups emerge. We investigate structures that may identify the winner based purely on the topology of the network. This provides a basic framework to identify what the characteristics associated with becoming a winner are, and may help to establish a homogenous criterion for subjective measures such as quality. Further, we measure the importance of voting cliques, and present a dynamic model based on a changing multidimensional measure of connectivity in order to reveal the formation of emerging community structure within the contest. Finally, we study the dynamic behaviour exhibited by the network in order to understand the clustering of voting preferences and the relationship between local and global properties.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:phsmap:v:377:y:2007:i:2:p:672-688
    DOI: 10.1016/j.physa.2006.11.038
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    References listed on IDEAS

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    1. Marco Haan & S. Dijkstra & Peter Dijkstra, 2005. "Expert Judgment Versus Public Opinion – Evidence from the Eurovision Song Contest," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 29(1), pages 59-78, February.
    2. J H Johnson, 1981. "Some Structures and Notation of Q-analysis," Environment and Planning B, , vol. 8(1), pages 73-86, March.
    3. 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.
    4. Duckstein, Lucien & Nobe, Steven A., 1997. "Q-analysis for modeling and decision making," European Journal of Operational Research, Elsevier, vol. 103(3), pages 411-425, December.
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    Cited by:

    1. Alexander V. Mantzaris & Samuel R. Rein & Alexander D. Hopkins, 2018. "Preference and neglect amongst countries in the Eurovision Song Contest," Journal of Computational Social Science, Springer, vol. 1(2), pages 377-390, September.
    2. Alexander V. Mantzaris & Samuel R. Rein & Alexander D. Hopkins, 2018. "Examining Collusion and Voting Biases Between Countries During the Eurovision Song Contest Since 1957," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(1), pages 1-1.
    3. Budzinski, Oliver & Gänßle, Sophia & Weimar, Daniel, 2023. "Disentangling individual biases in jury voting: An empirical analysis of voting behavior in the Eurovision Song Contest," Ilmenau Economics Discussion Papers 171, Ilmenau University of Technology, Institute of Economics.

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