Influences of influential users: An empirical study of music social network

Jing Ren; Zhiyong Cheng; Jialie Shen; Feida Zhu

doi:10.1145/2632856.2632907

Influences of influential users: An empirical study of music social network

Jing Ren, Zhiyong Cheng, Jialie Shen, Feida Zhu

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

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 diflusion 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 in uentialflusers and reveals limitations of existing influence identifi cation/characterization schemes.

Original language	English
Title of host publication	ICIMCS 2014 - Proceedings of the 6th International Conference on Internet Multimedia Computing and Service
Place of Publication	Xiamen; China
Publisher	Association for Computing Machinery (ACM)
Pages	411-415
Number of pages	5
ISBN (Print)	9781450328104
DOIs	https://doi.org/10.1145/2632856.2632907
Publication status	Published - 1 Jan 2014
Externally published	Yes
Event	6th International Conference on Internet Multimedia Computing and Service, ICIMCS 2014 - Xiamen, China Duration: 10 Jul 2014 → 12 Jul 2014

Conference

Conference	6th International Conference on Internet Multimedia Computing and Service, ICIMCS 2014
Country	China
City	Xiamen
Period	10/07/14 → 12/07/14

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10.1145/2632856.2632907

Link to publication in Scopus

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title = "Influences of influential users: An empirical study of music social network",

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 diflusion 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 in uentialflusers and reveals limitations of existing influence identifi cation/characterization schemes.",

keywords = "In uential users, Influence pattern, Music difiusion, Social network",

author = "Jing Ren and Zhiyong Cheng and Jialie Shen and Feida Zhu",

year = "2014",

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doi = "10.1145/2632856.2632907",

language = "English",

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pages = "411--415",

booktitle = "ICIMCS 2014 - Proceedings of the 6th International Conference on Internet Multimedia Computing and Service",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "6th International Conference on Internet Multimedia Computing and Service, ICIMCS 2014 ; Conference date: 10-07-2014 Through 12-07-2014",

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Ren, J, Cheng, Z, Shen, J & Zhu, F 2014, Influences of influential users: An empirical study of music social network. in ICIMCS 2014 - Proceedings of the 6th International Conference on Internet Multimedia Computing and Service. Association for Computing Machinery (ACM), Xiamen; China, pp. 411-415, 6th International Conference on Internet Multimedia Computing and Service, ICIMCS 2014, Xiamen, China, 10/07/14. https://doi.org/10.1145/2632856.2632907

Influences of influential users : An empirical study of music social network. / Ren, Jing; Cheng, Zhiyong; Shen, Jialie; Zhu, Feida.

ICIMCS 2014 - Proceedings of the 6th International Conference on Internet Multimedia Computing and Service. Xiamen; China : Association for Computing Machinery (ACM), 2014. p. 411-415.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

TY - GEN

T1 - Influences of influential users

T2 - 6th International Conference on Internet Multimedia Computing and Service, ICIMCS 2014

AU - Ren, Jing

AU - Cheng, Zhiyong

AU - Shen, Jialie

AU - Zhu, Feida

PY - 2014/1/1

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N2 - 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 diflusion 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 in uentialflusers and reveals limitations of existing influence identifi cation/characterization schemes.

AB - 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 diflusion 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 in uentialflusers and reveals limitations of existing influence identifi cation/characterization schemes.

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KW - Influence pattern

KW - Music difiusion

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BT - ICIMCS 2014 - Proceedings of the 6th International Conference on Internet Multimedia Computing and Service

PB - Association for Computing Machinery (ACM)

CY - Xiamen; China

Y2 - 10 July 2014 through 12 July 2014

ER -

Influences of influential users: An empirical study of music social network

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