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Using Complex Networks to Assess Collaboration in Rap Music: A Study Case of DJ Khaled

Published:17 October 2017Publication History

ABSTRACT

DJ Khaled is a popular musician that is known for having many collaborators in his songs. Hence, in this paper, we model the evolution of DJ Khaled's collaboration network as nine different networks that incrementally consider the albums of his discography. The network of each album includes the collaborations from previous ones and adds the collaborations from the new album. The artists are represented as nodes and the edges are the number of songs they appear together. Our focus is to answer whether or not: (i) we can identify meaningful communities in this network; and (2) there is an artist who has greater influence as networks emerges. By using the network average clustering coefficient, we found that the artists in the the network tend to naturally cluster in a logical manner. As a result, we identified nine communities, six of them are meaningful, and we identified the rapper Rick Ross as the most influential artist of the network.

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  1. Using Complex Networks to Assess Collaboration in Rap Music: A Study Case of DJ Khaled

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      cover image ACM Other conferences
      WebMedia '17: Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web
      October 2017
      522 pages
      ISBN:9781450350969
      DOI:10.1145/3126858

      Copyright © 2017 ACM

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      New York, NY, United States

      Publication History

      • Published: 17 October 2017

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      WebMedia '17 Paper Acceptance Rate38of138submissions,28%Overall Acceptance Rate270of873submissions,31%

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