🇬🇧 Manchester University researcher analyses Eurovision block voting
Fotis Konstantopoulos (Greece)
EDITORIAL – David Schoch is a Researcher in Network Analysis University of Manchester. He created a network of countries, where the links correspond to how often a country gave the maximum points to another.
To detect the blocks, he used a graph clustering algorithm based on modularity maximization. The maximization goal of the algorithm is exactly what he was after: Find groups of countries that have a lot of strong links among them and very few outside of the group. The algorithm detected five such groups.
So we have a block of mostly western European countries (and Morocco), the Scandinavian block with Hungary (maybe because of similarities between Finnish and Hungarian?) and Australia, a Balkan block and the Baltic/Caucasus block. When we put this on a map, the regional biases become pretty obvious.
Austria, France, Belgium, Italy, Switzerland, Germany, Luxembourg, Netherlands, Monaco, UK, Spain, Portugal, Israel, Turkey, Morocco, Andorra
Denmark, Sweden, Norway, Finland, Ireland, Iceland, Hungary, Australia
Malta, Bosnia & Herzegovina, Croatia, Slovenia, Slovakia, Macedonia, Serbia, Montenegro
Greece, Cyprus, Albania, Bulgaria, San Marino
Poland, Estonia, Lithuania, Romania, Russia, Latvia, Ukraine, Belarus, Moldova, Armenia, Czech, Republic, Georgia, Azerbaijan