INVESTIGADORES
BALENZUELA Pablo
artículos
Título:
Community structures and role detection in music networks
Autor/es:
TOMÁS TEITELBAUM; PABLO BALENZUELA; PEDRO CANO; JAVIER MARTIN BULDU
Revista:
CHAOS AN INTERDISCIPLINARY JR OF NONLINEAR SCIENCE
Editorial:
AMER INST PHYSICS
Referencias:
Año: 2008 vol. 18 p. 43105 - 43112
ISSN:
1054-1500
Resumen:
We analyze the existence of community structures in two different social networks using data obtained from similarity and collaborative features between musical artists. Our analysis reveals some characteristic organizational patterns and provides information about the driving forces behind the growth of the networks. In the similarity network, we find a strong correlation between clusters of artists and musical genres. On the other hand, the collaboration network shows two different kinds of communities: rather small structures related to music bands and geographic zones, and much bigger communities built upon collaborative clusters with a high number of participants related through the period the artists were active. Finally, we detect the leading artists inside their corresponding communities and analyze their roles in the network by looking at a few topological properties of the nodes