Eurovision and neighbourhood
When distances matter more than music...
(
in French)
Every year during the
Eurovision evening,
when the scores are announced, one can notice that countries are
frequently voting for their nieghbours. Let's check this tendency
by building the
phylogenetic tree of European countries according to
their Eurovision votes, which moves closer country which voted in a similar way.
More accurately, if we consider two countries,
P1 and
P2,
and call
Points i(j) the number of points given by country
Pi to country
Pj, one can compute the
Eurovision-distance between two countries
Pi et
Pj
in the following way :
Σ Country Pk | Points i(k) - Points j(k) |
From the original pdf (
semi-finale,
finale), transformed into a CSV table (
semi-finale,
finale), the distance matrix obtained is then coded into
the nexus format
(
semi-finale,
finale),
and the resulting file provided as an input of
Splitstree,
a program which reconstructs the phylogenetic tree useful to visualize, in a same subtree,
countries which voted in a similar way.

Phylogenetic tree of European countries according to their vote in the
finale of Eurovision 2006,
built with Splitstree 4 [3], the BioNJ algorithm [2], then a Daylight Optimization [1] for the
layout of the tree. One can notice the grouping of Nordic, Baltic countries, and ex-Yugoslavia.
"Europe" represents the average amongst all european countries.

Phylogenetic tree of European countries according to their vote in the
semi-finale of Eurovision 2006,
Even if the tree doesn't move closer every geographically close countries,
some groupings reflecting geographycan be observed, and apparently Europeans
have not reached communion in music evaluation. Let's not be pessimistic
in interpreting these biases as support votes to neighbors, but let's
just invoke regional harmonies in musical tastes.
Any comments or suggestions?
Bibliography
[1] P. Gambette, D.H. Huson:
Improved layout of phylogenetic networks, to appear in TCBB, 2006.
[2] O. Gascuel:
BIONJ: an improved version of the NJ algorithm based on a simple model of sequence data, Mol. Biol. Evol, 1997.
[3] D.H. Huson and D. Bryant:
Application of Phylogenetic Networks in Evolutionary Studies, Molecular Biology and Evolution, 23(2):254-267, 2006, software available from
http://www.splitstree.org.