ISSN : 1796-203X
Volume : 4    Issue : 8    Date : August 2009

A Hybrid System Approach to Determine the Ranking of a Debutant Country in Eurovision
Alberto Ochoa, Angel E. Muñoz-Zavala, and Arturo Hernández-Aguirre
Page(s): 713-720
Full Text:
PDF (671 KB)

The goal of the present work is to apply the computational properties of cultural technology, such as
data mining and, to propose the solution of a real problem about society modeling: the Eurovision
Song Contest. We analyze the voting behavior and ratings of judges using data mining techniques.
The dataset makes it possible to analyze the determinants of success, and gives a rare opportunity
to run a direct test of vote trading from logrolling. We show that they are rather driven by linguistic
and cultural proximities between singers and voting countries. With this information it is possible to
predict the rank of a new country, distributing a number of votes of all the participants. A computer
model is proposed and solved using a technique based on Particle Swarm Optimization.

Index Terms
PESO, particle swarm optimization, data mining, social modeling