@inproceedings{5e44de1203b3426a82dec6138c4ca02e,
title = "Commentary-Based Social Network Analysis and Visualization of Hong Kong Singers",
abstract = "Music and singers are influential in local society. An in-depth study on singers is beneficial to various sectors. However, the evolutional characteristic and the daunting complexity of the interrelationship among singers made the problem technically intriguing. In this paper, we present a novel commentary-based social network analysis (CBSNA) methodology to analyze the singer relationships. Developing weighting schemes and adopting k-nearest-neighbors (kNN) approach from network theory as a visualization technique, we simplify the resulting dense network to ease understanding and further investigations. Proof-of-concept experiments are conducted by using two popular datasets to verify the effectiveness of the proposed approach and the empirical results are promising.",
keywords = "Network construction, Social network analysis",
author = "Leung, {Janice Kwan Wai} and Li, {Chun Hung}",
note = "This work is supported by HKBU FRG2/08-09/103. Publisher copyright: {\textcopyright} 2010 IEEE; 2010 3rd IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2010 ; Conference date: 31-08-2010 Through 03-09-2010",
year = "2010",
month = aug,
day = "31",
doi = "10.1109/WI-IAT.2010.287",
language = "English",
isbn = "9781424484829",
series = "Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT",
publisher = "IEEE",
pages = "9--12",
editor = "Orland Hoeber and Yuefeng Li and Huang, {Xangji Jimmy}",
booktitle = "Proceedings - 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2010",
address = "United States",
}
