Influences of Influential Users: An Empirical Study of Music Social Network
Pages 411 - 415
Abstract
Influential user can play a crucial role in online social networks. This paper documents an empirical study aiming at exploring the effects of influential users in the context of music social network. To achieve this goal, music diffusion graph is developed to model how information propagates over network. We also propose a heuristic method to measure users' influences. Using the real data from Last. fm, our empirical test demonstrates key effects of influential users and reveals limitations of existing influence identification/characterization schemes.
References
[1]
Meeyoung Cha, Alan Mislove, and P. Krishna Gummadi. A measurement-driven analysis of information propagation in the flickr social network. In WWW, pages 721--730, 2009.
[2]
Z. Cheng and J. Shen. Just-for-me: An adaptive personalization system for location-aware social music recommendation. In ICMR, 2014.
[3]
C. Dangalchev. Residual closeness in networks. Physica A: Statistical Mechanics and its Applications, 365(2):556--564, 2006.
[4]
L. Freeman. A set of measures of centrality based on betweenness. Sociometry, pages 35--41, 1977.
[5]
L. Katz. A new status index derived from sociometric analysis. Psychometrika, 18(1):39--43, 1953.
[6]
Q. Liu, C. Wang, and M. Zhang. Measuring domain influence in heterogeneous networks. Diffusion Networks and Cascade Analytics, WSDM Workshop, 2014.
[7]
M. Schedl. Analyzing the potential of microblogs for spatio-temporal popularity estimation of music artists. In Proc. of of the IJCAI 2011: International Workshop on Social Web Mining, 2011.
[8]
J. Weng, E. Lim, J. Jiang, and Q. He. Twitterrank: finding topic-sensitive influential twitterers. In WSDM, 2010.
Index Terms
- Influences of Influential Users: An Empirical Study of Music Social Network
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Information & Contributors
Information
Published In
July 2014
430 pages
ISBN:9781450328104
DOI:10.1145/2632856
- General Chairs:
- Hanzi Wang,
- Larry Davis,
- Program Chairs:
- Wenwu Zhu,
- Stephan Kopf,
- Yanyun Qu,
- Publications Chairs:
- Jun Yu,
- Jitao Sang,
- Tao Mei
Copyright © 2014 ACM.
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In-Cooperation
- NSF of China: National Natural Science Foundation of China
- Beijing ACM SIGMM Chapter
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 10 July 2014
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- Research-article
- Research
- Refereed limited
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ICIMCS '14
ICIMCS '14: International Conference on Internet Multimedia Computing and Service
July 10 - 12, 2014
Xiamen, China
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Overall Acceptance Rate 163 of 456 submissions, 36%
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