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Community structures and role detection in music networks
T Teitelbaum1, P Balenzuela, P Cano
1Departamento de Fisica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires and CONICET, Buenos Aires, Argentina.
This study reveals distinct community structures in musical artist networks. Genre strongly influences similarity networks, while collaboration networks show communities based on bands, geography, and active periods.
Area of Science:
- Social Network Analysis
- Music Information Retrieval
- Computational Social Science
Background:
- Understanding social network structures is key to comprehending group dynamics.
- Musical artist networks offer a unique domain for studying community formation and evolution.
- Previous research has explored artist collaborations, but a dual analysis of similarity and collaboration networks is less common.
Purpose of the Study:
- To investigate community structures within musical artist social networks.
- To identify organizational patterns and driving forces in network growth.
- To analyze the roles of leading artists within identified communities.
Main Methods:
- Analysis of two distinct musical artist networks: a similarity network and a collaboration network.
- Utilizing data based on similarity and collaborative features between artists.
- Employing network analysis techniques to detect community structures and topological properties.
Main Results:
- A strong correlation between artist clusters and musical genres was found in the similarity network.
- The collaboration network exhibited small communities (bands, geographic zones) and large, period-based communities.
- Leading artists were identified, and their network roles were analyzed using node topological properties.
Conclusions:
- Musical genre is a significant factor in artist similarity networks.
- Collaboration networks display diverse community types, influenced by group formation and temporal activity.
- Network analysis provides insights into the structure and influential figures within musical artist communities.
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