Frontiers in Art Research, 2021, 3(2); doi: 10.25236/FAR.2021.030201.
Shao Yang
School of Science, China University of Geosciences (Beijing), Beijing, 100083
Music is important to society, which is a reflection of people’s spiritual world and affects the spiritual world of everyone. In our model, we will quantify the evolution of music based on the data provided. Then we get the reasonable evaluation result of the artists and reveal the evolution process of music. We constructed a complex directed network model by connecting followers and influencers with directed edges based on the influence data. This paper constructs the network structure index from several aspects. The relationship between artists is obtained by extracting subnetworks. Then, entropy method is adopted to determine the weight and construct the evaluation standard of artists’ "music influence".
network analysis, entropy method, breadth first search, cluster analysis, time series model
Shao Yang. A complex directed network model by connecting followers and influencer. Frontiers in Art Research (2021) Vol. 3 Issue 2: 1-5. https://doi.org/10.25236/FAR.2021.030201.
[1] Sobia Zahra, et al. "Novel centroid selection approaches for K-Means-clustering based recommender systems." Information Sciences 320. (2015): Doi: 10.1016/j.ins.2015.03.062.
[2] Zhuo Ming Ren, et al. "Structure-oriented prediction in complex networks. "Physics Reports. (2018): Doi: 10.1016/j.physrep.2018.05.002.
[3] Assal Habibi, et al. "Changes in auditory cortical thickness following music training in children: converging longitudinal and cross-sectional results." Brain Structure and Function 225. Republish (2020): Doi: 10.1007/s00429-020-02135-1.