The Eurovision music map
Did you
ever wonder what the European map would look like if the nations were located
based on cultural taste, rather than geographical distance? Which countries
would be your neighbours? Which nations would be located in the centre of Europe
and which would be in the outskirts? Where can the most unique taste be found
and are there any taste clusters? Do the preferences in wealthier countries
differ from that in poorer? We have tried to answer these questions by using
the votes from the four most recent Eurovision Song Contests (2012-2015) to
compile “the Eurovision music map”.
Figure 1. Music
preference (left) and geographic location (right) of all countries that
participated in the Eurovision Song Contest during the years 2012 to 2015.
The
two neighbouring countries that differ the most are Finland and Russia. Despite
Iceland’s remote geographic location, it is closely related in taste to its
neighbours.
The music of the East and West
To answer
the question of whether the music taste in Eastern Europe differ from that in
the Western part, the country dots have been coloured red or blue,
respectively. The grouping into East and West follows the block definition from
the days of the Cold War.
Figure 2
The taste in “Eastern Europe” generally seem to differ from that in the classic Western countries. There are however some exceptions. Slovenia, Hungary and the Baltic countries place their votes in a similar way as the West, while the taste in Greece seem to be quite typical to the preferences in the “East”.
Gross Domestic Product and music taste
In order to
investigate if the music taste in wealthier nations differ from the taste in
poorer, we have gathered information on the Gross Domestic Product (GDP) of all
countries. Instead of geographic location, the taste plot has then been updated
to show GDP per capita. The relative size of the dots illustrates the wealth of
the different nations.
Figure 3
Countries with high GDP per capita generally appear to differ in their music preferences compared to poorer countries. An exception is for example Hungary with a taste similar to UK and the Netherlands. Israel, on the other hand, have a musical preference similar to Malta and Russia. Note that the overall pattern highly resembles the East and West geographic division (Figure 2), since there is a correlation between the former political and economic system and the current wealth of a nation.
The core of the European music taste
The average
or “core taste” among the participating European countries can be found by
placing an archery target board over the taste plot (Figure 4), with the
calculated mean of all votes representing the bullseye.
Figure 4
The country
with the most typical European taste, i.e. closest to the bullseye, is Romania.
Albania, on the contrary, is located furthest from the centre of the plot, and
can thus be interpreted as having the most unique music preference of the
analysed nations. The complete ranking, listed from the centre and outwards,
is found in the text box.
Taste clusters
The groups
of countries that are located furthest from each other in the taste plot are
marked in Figure 5 as three separate clusters. These three clusters have the
most extreme music preferences and hence they differ the most.
Figure 5
The three taste
clusters are the Nordic countries, some of the Ex-Soviet countries, and some of
the former Yugoslavian countries.
Method
The votes
in the Eurovision Song Contest (ESC) have been used to calculate the distances
between the country dots in the plot. For every pair of dots, the average score
when giving points to a third country has been calculated. Country pairs with
low or high average differences end up close and far away, respectively. Data
from the last four contests have been used (2012-2015), and only countries that
have participated during all of these years are included in the analyses.
The distance, D,
between country dots A and B is calculated by the formula below, where a and b is the score given by country A and B, respectively, to country i. i
represents all individual countries except A and B.
Below
follows a theoretical example of the placing of country dots A, B and C. The
score distribution between these countries, and the additional country D, is as
follows:
In order to
display the distances between all participating countries, we used the software
GenAlEx to create a so-called principal coordinate plot (PCoA).







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