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Open AccessArticle

Expert Finding Considering Dynamic Profiles and Trust in Social Networks

1
Department of SW Convergence Technology, Wonkwang University, Iksandae 460, Iksan, Jeonbuk 54538, Korea
2
Department of Information and Communication Engineering, Chungbuk National University, Chungdae-ro 1, Seowon-Gu, Cheongju, Chungbuk 28644, Korea
*
Author to whom correspondence should be addressed.
Electronics 2019, 8(10), 1165; https://doi.org/10.3390/electronics8101165
Received: 24 September 2019 / Revised: 2 October 2019 / Accepted: 13 October 2019 / Published: 15 October 2019
(This article belongs to the Special Issue Data Analysis in Intelligent Communication Systems)
Recently, social network services that express individual opinions and thoughts have been significantly developed. As unreliable information is generated and shared by arbitrary users in social network services, many studies have been conducted to find users who provide reliable and professional information. In this paper, we propose an expert finding scheme to discover users who can answer users’ questions professionally in social network services. We use a dynamic profile to extract the user’s latest interest through an analysis of the user’s recent activity. To improve the accuracy of the expert finding results, we consider the user trust and response quality. We conduct a performance evaluation with the existing schemes through various experiments to verify the superiority of the proposed scheme. View Full-Text
Keywords: social network; expert finding; social activity; trust; dynamic profile social network; expert finding; social activity; trust; dynamic profile
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MDPI and ACS Style

Bok, K.; Jeon, I.; Lim, J.; Yoo, J. Expert Finding Considering Dynamic Profiles and Trust in Social Networks. Electronics 2019, 8, 1165.

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