A Network Celebrity Identification and Evaluation Model Based on Hybrid Trust Relation

Trust-based celebrity user identification is the key to the industry's reputation for electronic word of mouth. However, trust and mistrust are independent and coexistent concepts. In this context, we need to consider the existence of the two kinds of user relations brought about by the impact....

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Main Authors: Weijin Jiang, Jiahui Chen, Yuhui Xu
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2018-01-01
Series:Tehnički Vjesnik
Subjects:
Online Access:https://hrcak.srce.hr/file/300941
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spelling doaj-87b809186d83478f9a768278c60e113e2020-11-24T21:49:55ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek Tehnički Vjesnik1330-36511848-63392018-01-0125411361143A Network Celebrity Identification and Evaluation Model Based on Hybrid Trust RelationWeijin Jiang0Jiahui Chen1Yuhui Xu2Institute of Big Data and Internet Innovation, Mobile E-business Collaborative Innovation Center of Hunan Province, Hunan University of Commerce, Changsha 410205, ChinaInstitute of Big Data and Internet Innovation, Mobile E-business Collaborative Innovation Center of Hunan Province, Hunan University of Commerce, Changsha 410205, ChinaInstitute of Big Data and Internet Innovation, Mobile E-business Collaborative Innovation Center of Hunan Province, Hunan University of Commerce, Changsha 410205, ChinaTrust-based celebrity user identification is the key to the industry's reputation for electronic word of mouth. However, trust and mistrust are independent and coexistent concepts. In this context, we need to consider the existence of the two kinds of user relations brought about by the impact. This paper analyzes the characteristics of trust and distrust in social networks, and gives formal descriptions of trust networks, untrusted networks, and mixed trust networks. Based on the indicators such as degree distribution, correlation coefficient, and matching coefficient, the structural properties of mixed trust networks are studied. Based on the PageRank algorithm, the HTMM metrics affecting users under the mixed trust network environment are proposed. Finally, the validity of HTMM is verified through a real data set containing trust and distrust. Experimental results show that the results of HTMM's celebrity user identification method still have a low level of trust.https://hrcak.srce.hr/file/300941celebrity userhybrid trustidentification methodsocial network
collection DOAJ
language English
format Article
sources DOAJ
author Weijin Jiang
Jiahui Chen
Yuhui Xu
spellingShingle Weijin Jiang
Jiahui Chen
Yuhui Xu
A Network Celebrity Identification and Evaluation Model Based on Hybrid Trust Relation
Tehnički Vjesnik
celebrity user
hybrid trust
identification method
social network
author_facet Weijin Jiang
Jiahui Chen
Yuhui Xu
author_sort Weijin Jiang
title A Network Celebrity Identification and Evaluation Model Based on Hybrid Trust Relation
title_short A Network Celebrity Identification and Evaluation Model Based on Hybrid Trust Relation
title_full A Network Celebrity Identification and Evaluation Model Based on Hybrid Trust Relation
title_fullStr A Network Celebrity Identification and Evaluation Model Based on Hybrid Trust Relation
title_full_unstemmed A Network Celebrity Identification and Evaluation Model Based on Hybrid Trust Relation
title_sort network celebrity identification and evaluation model based on hybrid trust relation
publisher Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
series Tehnički Vjesnik
issn 1330-3651
1848-6339
publishDate 2018-01-01
description Trust-based celebrity user identification is the key to the industry's reputation for electronic word of mouth. However, trust and mistrust are independent and coexistent concepts. In this context, we need to consider the existence of the two kinds of user relations brought about by the impact. This paper analyzes the characteristics of trust and distrust in social networks, and gives formal descriptions of trust networks, untrusted networks, and mixed trust networks. Based on the indicators such as degree distribution, correlation coefficient, and matching coefficient, the structural properties of mixed trust networks are studied. Based on the PageRank algorithm, the HTMM metrics affecting users under the mixed trust network environment are proposed. Finally, the validity of HTMM is verified through a real data set containing trust and distrust. Experimental results show that the results of HTMM's celebrity user identification method still have a low level of trust.
topic celebrity user
hybrid trust
identification method
social network
url https://hrcak.srce.hr/file/300941
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