{"id":17,"date":"2025-09-17T01:56:11","date_gmt":"2025-09-17T01:56:11","guid":{"rendered":"https:\/\/brodykretz.com\/?page_id=17"},"modified":"2025-09-17T01:56:11","modified_gmt":"2025-09-17T01:56:11","slug":"17-2","status":"publish","type":"page","link":"https:\/\/brodykretz.com\/?page_id=17","title":{"rendered":"SpotifyAnalysis"},"content":{"rendered":"\n
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Spotify Artist Network Visualization<\/h1>\n

Mapping musical connections through network analysis and web scraping<\/p>\n <\/div>\n \n \n

\n Python<\/span>\n NetworkX<\/span>\n Selenium<\/span>\n Spotify API<\/span>\n Data Visualization<\/span>\n <\/div>\n\n \n
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Network Visualization Example<\/h2>\n \n \"Spotify\n

Interactive network showing 200+ artists across 6 generations from Coldplay<\/p>\n <\/div>\n \n \n

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Project Overview<\/h2>\n

\n This project creates interactive network visualizations of artist relationships on Spotify, revealing hidden connections and musical communities. Starting from any artist, the system explores outward through “related artists” to build a comprehensive map of musical connections spanning multiple generations.\n <\/p>\n <\/div>\n \n \n

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Automated Data Collection<\/h3>\n

Web scraping with Selenium to gather artist relationships from Spotify’s “Fans also like” section, building networks of hundreds of interconnected artists.<\/p>\n <\/div>\n \n

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Multi-Generation Mapping<\/h3>\n

Explores connections up to 6 degrees of separation, with color-coded generations showing how musical influence spreads through the network.<\/p>\n <\/div>\n \n

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Community Detection<\/h3>\n

Implements Louvain algorithm to identify genre clusters and musical communities within the broader network structure.<\/p>\n <\/div>\n \n

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Dynamic Visualizations<\/h3>\n

Interactive subgraph analysis including ego networks, generation-specific views, and shortest path calculations between artists.<\/p>\n <\/div>\n <\/div>\n\n \n

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Analysis Methods<\/h2>\n \n \n
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\n \n \"Generation\n
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Generation Subgraphs<\/h3>\n

Isolates specific generations to analyze connection density<\/p>\n <\/div>\n <\/div>\n \n \n

\n \n \"Community\n
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Genre Communities<\/h3>\n

Algorithmically detected music genre clusters<\/p>\n <\/div>\n <\/div>\n \n \n

\n \n \"Ego\n
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Artist Ego Networks<\/h3>\n

Individual artist’s direct connection network<\/p>\n <\/div>\n <\/div>\n \n <\/div>\n <\/div>\n \n \n

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Technical Implementation<\/h2>\n \n
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Data Collection Pipeline<\/h3>\n