Constructs a graph of approximately 156,000 artists with over 300,000 collaborative connections. Analyzes for small-world properties and power law adherance. Then, focuses on the analysis of the seed artists who topped the Spotify weekly charts, looking at the small-world properties of various genre and country subgraphs. Investigates genre distributions and co-occurrences. Applies the Louvain method for community detection to the chart-topper graph to analyze communities for small-world properties.
Dataset used found here: https://www.kaggle.com/datasets/jfreyberg/spotify-artist-feature-collaboration-network