Open AccessA Study on Influential User Identification in Online Social Networks
Author(s) -
Wang Nan,
Sun Qindong,
Zhou Yadong,
Shen Si
Publication year - 2016
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2016.05.012
Subject(s) - computer science , identification (biology) , order (exchange) , social network (sociolinguistics) , data mining , social media , human–computer interaction , world wide web , business , botany , finance , biology
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.