  The Eurovision Song Contest is a popular annual international song
competition organized by the European Broadcasting Union. The winner is decided
by the audience and expert juries from each participating nation, which is why
the analysis of its voting network offers a great insight into what factors,
besides the quality of the performances, influence the voting decisions.
  In this paper, we present the findings of the analysis of the voting network,
together with the results of a predictive model based on the collected data. We
touch upon the methodology used and describe the dataset we carry the analysis
on. The results include some general features of the voting networks, the
exposed communities of countries that award significantly more points among
themselves than would be expected and some predictions on what the biggest
factors that lead to this phenomenon are. We also include the model to predict
the votes based on network structure of both previous votes and song
preferences of nations, which we found not to offer much improved predictions
than relying on the betting tables alone.
