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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Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2018-01-01
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Online Access: | https://hrcak.srce.hr/file/300941 |
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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 |
work_keys_str_mv |
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_version_ |
1725886417367728128 |