Applying Data Mining in Music influences analysis

Nowadays, music has become an indispensable part of our life. Studying the influence and evolution process of music will help to promote the progress of human civilization. The purpose of this paper is to understand and measure the impact of previously produced music on new music and music artists,...

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Main Author: Lai Siqi
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/29/e3sconf_eem2021_03074.pdf
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author Lai Siqi
author_facet Lai Siqi
author_sort Lai Siqi
collection DOAJ
description Nowadays, music has become an indispensable part of our life. Studying the influence and evolution process of music will help to promote the progress of human civilization. The purpose of this paper is to understand and measure the impact of previously produced music on new music and music artists, and to develop a model for measuring the impact of music. Taking music genre as the main body, this paper constructs a directional network of music influence and a sub-network reflecting the relationship between "influencer and follower". In addition, this paper also defines the influence of music, and puts forward the "contagiousness index" to reveal a person's actual influence. Finally, using the parallel coordinate characteristics, the paper analyzes the influence of music on culture in time or environment.
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spelling doaj.art-08b23345b4504c2a949607224bd352de2022-12-21T22:09:11ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012530307410.1051/e3sconf/202125303074e3sconf_eem2021_03074Applying Data Mining in Music influences analysisLai Siqi0Zhejiang University of Finance & Economics HangzhouNowadays, music has become an indispensable part of our life. Studying the influence and evolution process of music will help to promote the progress of human civilization. The purpose of this paper is to understand and measure the impact of previously produced music on new music and music artists, and to develop a model for measuring the impact of music. Taking music genre as the main body, this paper constructs a directional network of music influence and a sub-network reflecting the relationship between "influencer and follower". In addition, this paper also defines the influence of music, and puts forward the "contagiousness index" to reveal a person's actual influence. Finally, using the parallel coordinate characteristics, the paper analyzes the influence of music on culture in time or environment.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/29/e3sconf_eem2021_03074.pdf
spellingShingle Lai Siqi
Applying Data Mining in Music influences analysis
E3S Web of Conferences
title Applying Data Mining in Music influences analysis
title_full Applying Data Mining in Music influences analysis
title_fullStr Applying Data Mining in Music influences analysis
title_full_unstemmed Applying Data Mining in Music influences analysis
title_short Applying Data Mining in Music influences analysis
title_sort applying data mining in music influences analysis
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/29/e3sconf_eem2021_03074.pdf
work_keys_str_mv AT laisiqi applyingdatamininginmusicinfluencesanalysis