The Geographic Flow Of Music On Spotify
Date Issued
2019
Author(s)
Jovanovska, Lidija
Abstract
As Daniel J. Levitin interestingly noted, No known
human culture now or anytime in the recorded past lacked
music. Therefore, the impetus behind this research paper is to
model the interactions between countries in order to reveal music
listening trends at a macro level. Subsequently, the framework
for performing this analysis consists of techniques used in the
multidisciplinary field known as Network Science. Throughout
the past decade, the world has witnessed a gradual shift in the
way music is listened to. In that respect, Spotify, an online music
streaming service, has been the imperative giant with a user base
of around 191 million. With the help of Spotify’s Application
Programming Interface (API), a dataset was compiled, which
contains the Weekly Top 40 streamed songs across 50 countries,
in the year 2017. Through research, the team explored whether,
and to which extent, do language, nationality and geographic
distance influence the way global communities are formed.
Furthermore, the project aimed to prove that there is a clear
direction of leadership flow in the network. Until now, the
acquired information supports the hypotheses that some countries
do indeed follow the trends beset by others and that language
and nationality play an essential role in the development of
communities.
human culture now or anytime in the recorded past lacked
music. Therefore, the impetus behind this research paper is to
model the interactions between countries in order to reveal music
listening trends at a macro level. Subsequently, the framework
for performing this analysis consists of techniques used in the
multidisciplinary field known as Network Science. Throughout
the past decade, the world has witnessed a gradual shift in the
way music is listened to. In that respect, Spotify, an online music
streaming service, has been the imperative giant with a user base
of around 191 million. With the help of Spotify’s Application
Programming Interface (API), a dataset was compiled, which
contains the Weekly Top 40 streamed songs across 50 countries,
in the year 2017. Through research, the team explored whether,
and to which extent, do language, nationality and geographic
distance influence the way global communities are formed.
Furthermore, the project aimed to prove that there is a clear
direction of leadership flow in the network. Until now, the
acquired information supports the hypotheses that some countries
do indeed follow the trends beset by others and that language
and nationality play an essential role in the development of
communities.
Subjects
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