Understanding how influences shape musical creation provides rich insight into cultural trends. As such, there have been several efforts to create quantitative complex network methods that support the analysis of influence networks among artists in a music corpus. We contribute to this body of work by examining how disruption happens in a corpus about music influence from the All Music Guide. A disruptive artist is one that creates a new stream of influences; this artist builds on prior efforts, but influences subsequent artists that do not build on the same prior efforts. We leverage methods devised to study disruption in Science and Technology, and apply them to the context of music creation. Our results point that such methods identify i...
In the work described in the paper Measuring disruption in song similarity networks, Falcão et al. d...
The digitalization and emergence of the Internet have given rise to new platforms providing marketin...
This paper seeks to measure the extent to which algorithmically generated playlists, conceptualised ...
Investigating music with a focus on the similarity relations between songs, albums, and artists play...
Nowadays, music has become an indispensable part of our life. Studying the influence and evolution p...
All musicians have been influenced by previous generations of artists. In the past, composers would ...
Social influence analysis is a very popular research direction. This article analyzes the social net...
In contemporary popular music, covering or adapting previous songs signals a tribute or reworking of...
Are there new insights through computational methods to the thorny problem of plotting the flow of m...
In contemporary popular music, covering or adapting previous songs signals a tribute or reworking of...
This paper uses the data crawled from the AllMusic website to establish a directional network of fol...
This paper makes a quantitative analysis of the comprehensive influence of music networks. Firstly, ...
What are the determinants of creativity, novelty, and innovation? In this paper I explore this quest...
Popular musicians are embedded in dynamic networks supporting their expertise development across dif...
All current and future music has its roots in earlier music. Even the most avant- garde needs a prio...
In the work described in the paper Measuring disruption in song similarity networks, Falcão et al. d...
The digitalization and emergence of the Internet have given rise to new platforms providing marketin...
This paper seeks to measure the extent to which algorithmically generated playlists, conceptualised ...
Investigating music with a focus on the similarity relations between songs, albums, and artists play...
Nowadays, music has become an indispensable part of our life. Studying the influence and evolution p...
All musicians have been influenced by previous generations of artists. In the past, composers would ...
Social influence analysis is a very popular research direction. This article analyzes the social net...
In contemporary popular music, covering or adapting previous songs signals a tribute or reworking of...
Are there new insights through computational methods to the thorny problem of plotting the flow of m...
In contemporary popular music, covering or adapting previous songs signals a tribute or reworking of...
This paper uses the data crawled from the AllMusic website to establish a directional network of fol...
This paper makes a quantitative analysis of the comprehensive influence of music networks. Firstly, ...
What are the determinants of creativity, novelty, and innovation? In this paper I explore this quest...
Popular musicians are embedded in dynamic networks supporting their expertise development across dif...
All current and future music has its roots in earlier music. Even the most avant- garde needs a prio...
In the work described in the paper Measuring disruption in song similarity networks, Falcão et al. d...
The digitalization and emergence of the Internet have given rise to new platforms providing marketin...
This paper seeks to measure the extent to which algorithmically generated playlists, conceptualised ...