Exploring community structure of sample-based music through bipartite network analysis이분 네트워크 분석을 통한 샘플 기반 음악의 커뮤니티 구조 탐색

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dc.contributor.advisorPark, Juyong-
dc.contributor.advisor박주용-
dc.contributor.authorPark, Dongju-
dc.date.accessioned2022-04-15T07:58:17Z-
dc.date.available2022-04-15T07:58:17Z-
dc.date.issued2021-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=963470&flag=dissertationen_US
dc.identifier.urihttp://hdl.handle.net/10203/295111-
dc.description학위논문(석사) - 한국과학기술원 : 문화기술대학원, 2021.8,[iii, 31 p. :]-
dc.description.abstractMusical sampling is a popular music composition that takes part of an existing recording and uses it to create a new recording. In sample-based music, musical similarity can be claimed for two artists who sampled the same song. To derive a community based on this similarity, we created an artist-song bipartite network consisting of artists who are the subjects of sampling and songs that are the target of sampling and analyzed its community structure. This derived community can be understood as a single musical style, so this paper enhances our understanding of the stylistic aspects of sample-based music.-
dc.languageeng-
dc.publisher한국과학기술원-
dc.subjectSample-based music▼aBipartite network analysis▼aCommunity detection▼aMusical style▼aCultural transmission-
dc.subject샘플 기반 음악▼a이분 네트워크 분석▼a커뮤니티 감지▼a음악적 스타일▼a문화적 전파-
dc.titleExploring community structure of sample-based music through bipartite network analysis-
dc.title.alternative이분 네트워크 분석을 통한 샘플 기반 음악의 커뮤니티 구조 탐색-
dc.typeThesis(Master)-
dc.identifier.CNRN325007-
dc.description.department한국과학기술원 :문화기술대학원,-
dc.contributor.alternativeauthor박동주-
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