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论文类型：会议论文

发表时间：2014-12-14

收录刊物：EI、CPCI-S、Scopus

卷号：2015-January

期号：January

页面范围：1012-1019

关键字：Topical influential user analysis; Relationship strength estimation; Twitter

摘要：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.