Cited By
View all- Wen XWang Z(2023)Big Data Analytics Technology and Applications in Cloud Computing PerspectiveApplied Mathematics and Nonlinear Sciences10.2478/amns.2023.1.000448:2(1415-1432)Online publication date: 28-Apr-2023
Modeling and Analysis of the Influence of Directional Network Model on Music under Big Data Technology
Authors: 
Shihao Guo, Erqiang Bao, Ting Gao, Yuru HuangAuthors Info & Claims
Pages 1180 - 1185
Abstract
Music plays an important role in the development of human society. Because music itself is complex and difficult to quantify, how to judge the influence of music has become a difficult task. Based on big data technology, this paper constructs a music directional network, builds a comprehensive evaluation model based on intergenerational transmission and weight design reduction, measures the influence of each music genre and other genres, and visualizes it. In addition, we constructed a mathematical model based on the Pearson correlation coefficient to measure the similarity between songs and between musicians and genres. Finally, we also analyzed and evaluated the attributes of the artist through the radar chart. We hope that through this experiment, we can contribute to the study of music influence and the division of music genres.
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Published In
September 2021
2972 pages
ISBN:9781450390255
DOI:10.1145/3482632
Copyright © 2021 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 22 November 2021
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ICISCAE 2021
ICISCAE 2021: 2021 IEEE 4th International Conference on Information Systems and Computer Aided Education
September 24 - 26, 2021
Dalian, China
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Cited By
View all- Wen XWang Z(2023)Big Data Analytics Technology and Applications in Cloud Computing PerspectiveApplied Mathematics and Nonlinear Sciences10.2478/amns.2023.1.000448:2(1415-1432)Online publication date: 28-Apr-2023
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