Analyzing the Eurovision Song Contest With Graphs

In the exploration of the Eurovision Song Contest through graph analytics, the article delves into the intricate relationships and voting patterns shaped by geopolitical factors, neighborhood affinities, and cultural ties. Utilizing a dataset containing country nodes and voting edges, it analyzes how strategic voting, neighbor preferences, and political rivalries influence the contest's outcomes. The piece highlights Ireland and Sweden's consistent victories and the UK's frequent runner-up status, while also examining how countries allocate points based on jury votes and public televoting. Memgraph Lab is employed to visualize these data patterns, revealing that neighboring countries often exchange the most points, significantly impacting results. The analysis uncovers that countries with more neighbors, like France, Russia, and Germany, often have an edge in accumulating votes, suggesting that geographical proximity plays a crucial role in the contest's dynamics. Through these insights, the article invites readers to consider whether winning Eurovision is merely about having a catchy song or if deeper political and social connections are at play.