Barbara Prkacin's analysis delves into the intricacies of the Eurovision Song Contest using graph analytics to uncover strategic voting, neighbor preferences, and geopolitical influences. The dataset used comprises nodes representing 51 countries with properties like name, capital, latitude, longitude, and flag, and edges representing relationships such as borders, jury votes, and televotes. Since 2009, the Eurovision winner has been determined by an equal split between jury and public votes. Using Memgraph Lab, Prkacin visualizes the data to explore patterns such as the success of countries like Ireland and Sweden, the UK's history as a runner-up, and the influence of neighbor votes. The analysis reveals that geographical location and the number of neighboring countries can significantly impact voting outcomes, as seen in cases like France and Russia. Despite the dataset's limitations, these insights highlight the multifaceted dynamics behind the contest's voting system, inviting further exploration as new data emerges.