Publication Type

Conference Proceeding Article

Publication Date

7-2014

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.

Keywords

Influential users, Influence pattern, Music diffusion, Social network

Discipline

Databases and Information Systems | Digital Communications and Networking | Music | Social Media

Research Areas

Data Management and Analytics

Publication

ICIMCS 2014: Proceedings of the Sixth International Conference on Internet Multimedia Computing and Service: July 10-12, Xiamen, China

First Page

411

Last Page

416

ISBN

9781450328104

Identifier

10.1145/2632856.2632907

Publisher

ACM

City or Country

New York

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

https://doi.org/10.1145/2632856.2632907