Evolution of sample-based music authorship network
Abstract Sample-based music—characterized by the adoption of extant audio fragments (sampling) in its creation process—plays an essential role in contemporary popular music, fostering inter-generational connections between the creators that have resulted in a rich and diverse sonic landscape. The se...
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| Language: | English |
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SpringerOpen
2025-01-01
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| Series: | EPJ Data Science |
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| Online Access: | https://doi.org/10.1140/epjds/s13688-025-00524-2 |
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| author | Dongju Park Juyong Park |
| author_facet | Dongju Park Juyong Park |
| author_sort | Dongju Park |
| collection | DOAJ |
| description | Abstract Sample-based music—characterized by the adoption of extant audio fragments (sampling) in its creation process—plays an essential role in contemporary popular music, fostering inter-generational connections between the creators that have resulted in a rich and diverse sonic landscape. The selection, manipulation, and adoption of samples heavily impact the genre, mood, texture, and finally the distinctive identity of a new musical composition. One could call the samples “cultural genes” of sorts, continually incorporated into new music to contribute to its characteristics. One can then ask how this process has taken place in history and shaped the history of contemporary popular music, which we study in this work. We specifically study the evolution of sample-based music between the years 1980 and 2019, taking cue from the citation network analysis of academic literature that intuitively follows a similar dynamic of the flow of ideas and material from the old works into new ones. First, the community structure in the artist–sample network is identified, and its relationship to distinctive musical styles and flavors is verified. A longitudinal analysis of the passing down of musical styles is then performed based on similarity between communities of distinct eras, identifying continuous temporal developments in music as well as instances of the revival of styles dormant across multiple generations, akin to “genetic atavism.” This study demonstrates the complex nature of cultural evolution using a network framework that is also generally applicable to other creative enterprises. |
| format | Article |
| id | doaj-art-2a437ec92b9e425eb6bd800f47c0adad |
| institution | Kabale University |
| issn | 2193-1127 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EPJ Data Science |
| spelling | doaj-art-2a437ec92b9e425eb6bd800f47c0adad2025-01-26T12:20:03ZengSpringerOpenEPJ Data Science2193-11272025-01-0114111610.1140/epjds/s13688-025-00524-2Evolution of sample-based music authorship networkDongju Park0Juyong Park1Graduate School of Culture Technology, Korea Advanced Institute of Science & TechnologyGraduate School of Culture Technology, Korea Advanced Institute of Science & TechnologyAbstract Sample-based music—characterized by the adoption of extant audio fragments (sampling) in its creation process—plays an essential role in contemporary popular music, fostering inter-generational connections between the creators that have resulted in a rich and diverse sonic landscape. The selection, manipulation, and adoption of samples heavily impact the genre, mood, texture, and finally the distinctive identity of a new musical composition. One could call the samples “cultural genes” of sorts, continually incorporated into new music to contribute to its characteristics. One can then ask how this process has taken place in history and shaped the history of contemporary popular music, which we study in this work. We specifically study the evolution of sample-based music between the years 1980 and 2019, taking cue from the citation network analysis of academic literature that intuitively follows a similar dynamic of the flow of ideas and material from the old works into new ones. First, the community structure in the artist–sample network is identified, and its relationship to distinctive musical styles and flavors is verified. A longitudinal analysis of the passing down of musical styles is then performed based on similarity between communities of distinct eras, identifying continuous temporal developments in music as well as instances of the revival of styles dormant across multiple generations, akin to “genetic atavism.” This study demonstrates the complex nature of cultural evolution using a network framework that is also generally applicable to other creative enterprises.https://doi.org/10.1140/epjds/s13688-025-00524-2Complex networksTemporal networksNetwork evolutionSample-based musicCultural evolution |
| spellingShingle | Dongju Park Juyong Park Evolution of sample-based music authorship network EPJ Data Science Complex networks Temporal networks Network evolution Sample-based music Cultural evolution |
| title | Evolution of sample-based music authorship network |
| title_full | Evolution of sample-based music authorship network |
| title_fullStr | Evolution of sample-based music authorship network |
| title_full_unstemmed | Evolution of sample-based music authorship network |
| title_short | Evolution of sample-based music authorship network |
| title_sort | evolution of sample based music authorship network |
| topic | Complex networks Temporal networks Network evolution Sample-based music Cultural evolution |
| url | https://doi.org/10.1140/epjds/s13688-025-00524-2 |
| work_keys_str_mv | AT dongjupark evolutionofsamplebasedmusicauthorshipnetwork AT juyongpark evolutionofsamplebasedmusicauthorshipnetwork |