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Abstract: We analyze the existence of community structures in two different socialnetworks obtained from similarity and collaborative features between musicalartists. Our analysis reveals some characteristic organizational patterns andprovides information about the driving forces behind the growth of thenetworks. In the similarity network, we find a strong correlation betweenclusters of artists and musical genres. On the other hand, the collaborationnetwork shows two different kinds of communities: rather small structuresrelated to music bands and geographic zones, and much bigger communities builtupon collaborative clusters with a high number of participants related throughthe period the artists were active. Finally, we detect the leading artistsinside their corresponding communities and analyze their roles in the networkby looking at a few topological properties of the nodes.



Author: T. Teitelbaum, P. Balenzuela, P. Cano, J. M. Buldu

Source: https://arxiv.org/







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