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Chaos : Community structures and role detection in music networks

By T. Teitelbaum, P. Balenzuela, P. Cano, and Javier M. Buldú

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Book Id: WPLBN0002169287
Format Type: PDF eBook :
File Size: Serial Publication
Reproduction Date: 14 October 2008

Title: Chaos : Community structures and role detection in music networks  
Author: T. Teitelbaum, P. Balenzuela, P. Cano, and Javier M. Buldú
Volume: Issue : October 2008
Language: English
Subject: Science, Physics, Natural Science
Collections: Periodicals: Journal and Magazine Collection, Chaos Collection
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Publication Date:
Publisher: American Institute of Physics

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P. Balenzuela, P. Cano, And Javier M. Buld, T. T. (n.d.). Chaos : Community structures and role detection in music networks. Retrieved from http://community.worldlibrary.net/


Description
Description: 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

 

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