Topical influential user analysis with relationship strength estimation in Twitter

Xinyue Liu, Hua Shen, Fenglong Ma, Wenxin Liang

Research output: Contribution to journalConference article

13 Scopus citations

Abstract

Topical Influential User Analysis (TIUA) is an important technique in Twitter. Existing techniques neglected relationship strength between users, which is a crucial aspect for TIUA. For modeling relationship strength, interaction frequency between users has not been considered in previous works. In this paper, we firstly introduce a poisson regression-based latent variable model to estimate relationship strength by utilizing interaction frequency. We then propose a novel TIUA framework which uses not only retweeting relationship but also relationship strength. Experimental results show that the proposed TIUA algorithm can greatly improve the precision and relevance on finding topical influential users in Twitter.

Original languageEnglish (US)
Article number7022707
Pages (from-to)1012-1019
Number of pages8
JournalIEEE International Conference on Data Mining Workshops, ICDMW
Volume2015-January
Issue numberJanuary
DOIs
StatePublished - Jan 26 2015
Event14th IEEE International Conference on Data Mining Workshops, ICDMW 2014 - Shenzhen, China
Duration: Dec 14 2014 → …

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Software

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