Influences of Influential Users: An Empirical Study of Music Social Network
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 n...
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2014
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sg-smu-ink.sis_research-42082017-11-22T07:37:35Z Influences of Influential Users: An Empirical Study of Music Social Network REN, Jing CHENG, Zhiyong SHEN, Jialie ZHU, Feida 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. 2014-07-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/3207 info:doi/10.1145/2632856.2632907 https://ink.library.smu.edu.sg/context/sis_research/article/4208/viewcontent/InfluentialUsers_2014.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Influential users Influence pattern Music diffusion Social network Databases and Information Systems Digital Communications and Networking Music Social Media |
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Influential users Influence pattern Music diffusion Social network Databases and Information Systems Digital Communications and Networking Music Social Media REN, Jing CHENG, Zhiyong SHEN, Jialie ZHU, Feida Influences of Influential Users: An Empirical Study of Music Social Network |
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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. |
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REN, Jing CHENG, Zhiyong SHEN, Jialie ZHU, Feida |
author_facet |
REN, Jing CHENG, Zhiyong SHEN, Jialie ZHU, Feida |
author_sort |
REN, Jing |
title |
Influences of Influential Users: An Empirical Study of Music Social Network |
title_short |
Influences of Influential Users: An Empirical Study of Music Social Network |
title_full |
Influences of Influential Users: An Empirical Study of Music Social Network |
title_fullStr |
Influences of Influential Users: An Empirical Study of Music Social Network |
title_full_unstemmed |
Influences of Influential Users: An Empirical Study of Music Social Network |
title_sort |
influences of influential users: an empirical study of music social network |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2014 |
url |
https://ink.library.smu.edu.sg/sis_research/3207 https://ink.library.smu.edu.sg/context/sis_research/article/4208/viewcontent/InfluentialUsers_2014.pdf |
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