Visualizing Networks of Music Artists with RAMA
نویسندگان
چکیده
In this paper we present RAMA (Relational Artist MAps), a simple yet efficient interface to navigate through networks of music artists. RAMA is built upon a dataset of artist similarity and user-defined tags regarding 583.000 artists gathered from Last.fm. This third-party, publicly available, data about artists similarity and artists tags is used to produce a visualization of artists relations. RAMA provides two simultaneous layers of information: (i) a graph built from artist similarity data, and (ii) overlaid labels containing user-defined tags. Differing from existing artist network visualization tools, the proposed prototype emphasizes commonalities as well as main differences between artist categorizations derived from user-defined tags, hence providing enhanced browsing experiences to users.
منابع مشابه
A Prototype for Visualizing Music Artist Networks
This paper reports on a prototype providing a simple yet efficient interface to navigate through networks of music artists. Built upon data gathered from Last.fm, it provides two simultaneous layers of information: (i) a graph built from artist similarity data, and (ii) overlaid labels containing user-defined tags. Differing from existing artist network visualization tools, the proposed prototy...
متن کاملInteractive Poster: Using CoMIRVA for Visualizing Similarities Between Music Artists
This paper presents our framework for music information retrieval and visualization (CoMIRVA). We focus on the functions for visualizing similarities between music artists or songs and describe some approaches we have already implemented. In particular, we present a novel three-dimensional visualization technique based on a geographic model, the very simple “Circled Bars” visualization which co...
متن کاملMusician Map: visualizing music collaborations over time
In this paper we introduce MusicianMap, a web-based interactive tool for visualizing relationships among popular musicians who have released recordings since 1950. MusicianMap accepts search terms from the user, and in turn uses these terms to retrieve data from MusicBrainz.org and AudioScrobbler.net, and visualizes the results. MusicianMap visualizes relationships of various kinds between musi...
متن کاملCreate Attention to Attract Attention - Viral Marketing of Digital Music in Social Networks
Digitalization has led to a plethora of digital media. Especially with regard to music, consumers have the choice among millions of songs and artists. For artists and music labels the arising question is how to find their audiences and how to get attention for their music. Since music is naturally part of communications and interactions, viral marketing is a chance for them to (re-)gain attenti...
متن کاملCommunity structures and role detection in music networks.
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 a...
متن کامل