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http://dx.doi.org/10.5392/JKCA.2016.16.12.551

User Influence Discrimination Scheme Using Activity Analysis in Social Networks  

Park, Yunjeong (충북대학교 빅데이터협동과정)
Lee, Seohee (충북대학교 빅데이터협동과정)
Han, Jinsu (충북대학교 정보통신공학과)
Noh, Yeonwoo (충북대학교 정보통신공학과)
Lim, Jongtae (충북대학교 정보통신공학과)
Kim, Yeonwoo (충북대학교 정보통신공학과)
Bok, Kyongsoo (충북대학교 정보통신공학과)
Yoo, Jaesoo (충북대학교 정보통신공학과)
Publication Information
The Journal of the Korea Contents Association / v.16, no.12, 2016 , pp. 551-561 More about this Journal
Abstract
A user influence discrimination scheme using big data from social networks is needed. In this thesis, we propose a user influence discrimination scheme considering reliability in social networks. The proposed scheme measures reliability scores through social activities and simplifies a social network by collecting only reliable users. It also derives user influence by considering direct and indirect influences that depends on network degree between users. As a result, the proposed scheme improves the expandability of the user influence. In order to show the superiority of the proposed scheme, we compare it with the existing scheme through performance evaluations in terms of reliability and user influence.
Keywords
Social Network; User Influence; Reliability; Reliability Network; Influence Discrimination;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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