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Microblog-oriented backbone nodes identification in public opinion diffusion

  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Backbone nodes in public opinion diffusion could help people understand how it spreads. Previous work relies on the fact that how the opinion diffuses across time, which shows disappointing results. This paper presents a novel method for identifying backbone nodes in public opinion diffusion, which can be applied to different platforms. We take Sina microblog as an example platform. Besides traditional factors, our model takes personal contribution degree and physical contribution degree into consideration by estimating personal features and diffusion scale respectively. Finally, we employ a visual graph to a person's role in public opinion diffusion intuitively. Experimental result shows that this method performs well in identifying backbone nodes.

Original languageEnglish
Title of host publicationICALIP 2014 - 2014 International Conference on Audio, Language and Image Processing, Proceedings
EditorsWanggen Wan, Fa-Long Luo, Xiaoqing Yu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages570-573
Number of pages4
ISBN (Electronic)9781479939022
DOIs
StatePublished - 13 Jan 2015
Event4th International Conference on Audio, Language and Image Processing, ICALIP 2014 - Shanghai, China
Duration: 7 Jul 20149 Jul 2014

Publication series

NameICALIP 2014 - 2014 International Conference on Audio, Language and Image Processing, Proceedings

Conference

Conference4th International Conference on Audio, Language and Image Processing, ICALIP 2014
Country/TerritoryChina
CityShanghai
Period7/07/149/07/14

Keywords

  • backbone node
  • contribution degree
  • microblog
  • public opinion transmission

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