A Study on Influential User Identification in Online Social Networks. Issue 3 (1st May 2016)

• Record Type: Journal Article
• Authors: Wang, Nan; Sun, Qindong; Zhou, Yadong; Shen, Si
• Is Part Of: Chinese journal of electronics. Volume 25:Issue 3(2016)
• Page Start: 467
• Page End: 473
• Publication Date: 2016-05-01
• Subjects: Online social networks -- Influential user identification -- Dynamic regional interaction model (DRI) -- User influence evaluation; social networking (online) -- social sciences computing; influential user identification -- online social networks -- dynamic regional interaction model -- Sina Weibo -- DRI model; Electronics -- Periodicals; Electronics -- China -- Periodicals; Electronics; China; Periodicals; 621.38105
• DOI: 10.1049/cje.2016.05.012
• Languages: English
• ISSNs: 1022-4653

Abstract

Abstract : Influential user evaluation is great importance in many application areas of online social networks. In order to identify influential users in a more adequate and practical way, we propose a Dynamic regional interaction model (DRI) to evaluate user influence in online social networks. Influential users can be identified by the influence effect on different distance users based on dynamic regional interaction model. We have applied the influential user identification method to Sina Weibo and the experimental results show that compared with the existing methods the proposed method can identify the influence users in a more accuracy and efficiency way.