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 |
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| 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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Cite this
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 (pp. 411-415). Association for Computing Machinery (ACM). https://doi.org/10.1145/2632856.2632907