Analyzing the Eurovision Song Contest with Graphs
After the 2020 Eurovision Song Contest was canceled, we are excited about this year’s finals more than ever, but geeks among us can’t just wait around doing nothing! Every year Eurovision brings us a fantastic mash-up of extravagant outfits, catchy songs, and bold dance moves. Underneath the surface of glitter and rainbows, there is a complicated story of geopolitics, rivalry, and tactics hidden in the collection of interconnected data.
Our dataset is quite simple. There are 51 Country nodes with the following properties: name, capital, lat, lng and flag. The properties lat and lng represent the coordinates of a country’s capital city and will be important for visualizing the data on a map. The same is true for the flag property.
Each year’s winner and runner-up are connected to Winner and RunnerUp nodes, respectively, with an edge IS that contains the properties year and points.
The Country nodes are connected with the BORDERS edge if they are neighboring countries.VOTE_JURY and VOTE_TELEVOTE edges have properties year and points. VOTE_JURY edges represent a number of points given by each country’s professional jury, and VOTE_TELEVOTE edges represent the general public’s vote that has been introduced in 1997. The voting system has been changed a few times so far but since 2009 the winner is determined by votes of the jury and public in an equal split.
