From View of Complex Network: Fractal Dimension of Music Notation

被引：0
|
作者：
Wang, Ningkui [1 ]
Wei, Daijun [1 ]
机构：
[1] Key Lab Biol Resources Protect & Utilizat Hubei P, Enshi 445000, Peoples R China
来源：
26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC) | 2014年
关键词：
Fractal; Visibility graph; Complex networks; Music; CENTRALITY;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Recently, complex system has been considered by complex networks. The fractal and self-similarity properties are revealed in many real complex networks. The visibility graph which can convert a time series into a graph. In this paper, music notation is considered as a time series. And then, the fractal and self-similarity properties of music are revealed using box-covering algorithm of complex networks. The proposed method is applied to calculate the fractal dimensions of some real music. Our results show that the proposed method is efficient to study the fractal and self-similarity properties of music.
引用
收藏
页码：3647 / 3650
页数：4
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