Unveiling music genre structure through common-interest communities

@article{Jiang2022UnveilingMG,
  title={Unveiling music genre structure through common-interest communities},
  author={Zhiheng Jiang and Hoai Nguyen Huynh},
  journal={Social Network Analysis and Mining},
  year={2022},
  volume={12},
  pages={1-15}
}
Using a dataset of more than 90,000 metal music reviews written by over 9000 users in a period of 15 years, we analyse the genre structure of metal music with the aid of review text information. We model the relationships between genres using a user-oriented network, based on the written reviews. We then perform community detection and employ a network “averaging” method to obtain stable genre clusters, in order to analyse the structures of clusters both locally within each cluster and globally… 

Analysis of Public Transport (in)accessibility and Land-Use Pattern in Different Areas in Singapore

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