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Commentary-Based Social Network Analysis and Visualization of Hong Kong Singers

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2 Author(s)
Janice Kwan-Wai Leung ; Dept. of Comput. Sci., Hong Kong Baptist Univ., Hong Kong, China ; Chun-Hung Li

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.

Published in:

Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on  (Volume:3 )

Date of Conference:

Aug. 31 2010-Sept. 3 2010