A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogs

Wayne Xin Zhao, Jing Liu, Yulan He, Chin Yew Lin, Ji-Rong Wen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Existing approaches of social influence analysis usually focus on how to develop effective algorithms to quantize users' influence scores. They rarely consider a person's expertise levels which are arguably important to influence measures. In this paper, we propose a computational approach to measuring the correlation between expertise and social media influence, and we take a new perspective to understand social media influence by incorporating expertise into influence analysis. We carefully constructed a large dataset of 13,684 Chinese celebrities from Sina Weibo (literally 'Sina microblogging'). We found that there is a strong correlation between expertise levels and social media influence scores. In addition, different expertise levels showed influence variation patterns: high-expertise celebrities have stronger influence on the 'audience' in their expertise domains.

Original languageEnglish
Title of host publicationProceedings of the 2014 IEEE/ACM international conference on Advances in Social Networks Analysis and Mining
Subtitle of host publicationASONAM 2014
EditorsXindong Wu, Martin Ester, Guandong Xu
Place of PublicationPiscataway, NJ (US)
PublisherIEEE
Pages460-463
Number of pages4
ISBN (Print)978-1-4799-5877-1, 978-1-4799-5876-4
DOIs
Publication statusPublished - 31 Dec 2014
Event2014 IEEE/ACM international conference on Advances in Social Networks Analysis and Mining - Beijing, China
Duration: 17 Aug 201420 Aug 2014

Conference

Conference2014 IEEE/ACM international conference on Advances in Social Networks Analysis and Mining
Abbreviated titleASONAM 2014
CountryChina
CityBeijing
Period17/08/1420/08/14

Bibliographical note

Funding: EPSRC grant EP/L010690/1

Keywords

  • expertise
  • microblog
  • social media influence

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    Zhao, W. X., Liu, J., He, Y., Lin, C. Y., & Wen, J-R. (2014). A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogs. In X. Wu, M. Ester, & G. Xu (Eds.), Proceedings of the 2014 IEEE/ACM international conference on Advances in Social Networks Analysis and Mining: ASONAM 2014 (pp. 460-463). IEEE. https://doi.org/10.1109/ASONAM.2014.6921626