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 | |
| 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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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 › Research › peer-review
TY - GEN
T1 - Influences of influential users
T2 - An empirical study of music social network
AU - Ren, Jing
AU - Cheng, Zhiyong
AU - Shen, Jialie
AU - Zhu, Feida
PY - 2014/1/1
Y1 - 2014/1/1
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.
KW - In uential users
KW - Influence pattern
KW - Music difiusion
KW - Social network
UR - http://www.scopus.com/inward/record.url?scp=84905666733&partnerID=8YFLogxK
U2 - 10.1145/2632856.2632907
DO - 10.1145/2632856.2632907
M3 - Conference Paper published in Proceedings
SN - 9781450328104
SP - 411
EP - 415
BT - ICIMCS 2014 - Proceedings of the 6th International Conference on Internet Multimedia Computing and Service
PB - Association for Computing Machinery (ACM)
CY - Xiamen; China
ER -