TRUST MODEL FOR SOCIAL NETWORK USING SINGULAR VALUE DECOMPOSITION

被引：1

作者：

Ntwiga, Davis Bundi ^{[1
]}

Weke, Patrick ^{[1
]}

Kirumbu, Michael Kiura ^{[2
]}

机构：

[1] Univ Nairobi, Sch Math, Nairobi, Kenya

[2] Daystar Univ, Sch Sci Engn & Hlth, Nairobi, Kenya

来源：

INTERDISCIPLINARY DESCRIPTION OF COMPLEX SYSTEMS | 2016年 / 14卷 / 03期

关键词：

singular value decomposition; reputation; trust; social network; discounting;

D O I：

10.7906/indecs.14.3.2

中图分类号：

C [社会科学总论];

学科分类号：

03 ; 0303 ;

摘要：

For effective interactions to take place in a social network, trust is important. We model trust of agents using the peer to peer reputation ratings in the network that forms a real valued matrix. Singular value decomposition discounts the reputation ratings to estimate the trust levels as trust is the subjective probability of future expectations based on current reputation ratings. Reputation and trust are closely related and singular value decomposition can estimate trust using the real valued matrix of the reputation ratings of the agents in the network. Singular value decomposition is an ideal technique in error elimination when estimating trust from reputation ratings. Reputation estimation of trust is optimal at the discounting of 20 %.

引用

页码：296 / 302

页数：7

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