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 proceedingConference Paper published in Proceedings

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 languageEnglish
Title of host publicationICIMCS 2014 - Proceedings of the 6th International Conference on Internet Multimedia Computing and Service
Place of PublicationXiamen; China
PublisherAssociation for Computing Machinery (ACM)
Pages411-415
Number of pages5
ISBN (Print)9781450328104
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event6th International Conference on Internet Multimedia Computing and Service, ICIMCS 2014 - Xiamen, China
Duration: 10 Jul 201412 Jul 2014

Conference

Conference6th International Conference on Internet Multimedia Computing and Service, ICIMCS 2014
CountryChina
CityXiamen
Period10/07/1412/07/14

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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