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http://dx.doi.org/10.5392/JKCA.2018.18.05.280

Discriminating a User Indirect Trust Considering Connection Relationship and Influence of Users in Social Networks  

Seo, Indeok (충북대학교 빅데이터협동과정)
Song, Heesub (충북대학교 빅데이터협동과정)
Jeong, Jaeyun (충북대학교 정보통신학과)
Park, Jaeyeol (충북대학교 정보통신학과)
Kim, Minyoung (충북대학교 정보통신학과)
Lim, Jongtae (충북대학교 정보통신학과)
Bok, Kyoungsoo (충북대학교 정보통신학과)
Yoo, Jaesoo (충북대학교 정보통신학과)
Publication Information
The Journal of the Korea Contents Association / v.18, no.5, 2018 , pp. 280-291 More about this Journal
Abstract
Recently, various interactions have been actively conducted through sharing and expressing opinions among users in social networks. In this process, since malicious users and fault information spread misinformation, trust is reduced irrespective of their will. To solve this problem, studies have been conducted to determine the trust of a user through direct-connected users. In this paper, we propose a enhanced user indirect trust discrimination scheme considering the connection relation and influence of users. The proposed indirect trust computation scheme derives the user's area of interest through user interaction and reconstructs the existing network considering the user connection relationship. The final indirect trust is also detected by determining whether the user is a malicious user through the influence of the user. Through various performance evaluations, we show that the proposed scheme achieves better performance than the existing method.
Keywords
Social Networks; Reliability; Indirect Reliability; Influences; Connection Relationship;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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