Trust model for social network using singular value decomposition

Davis Bundi Ntwiga (), Patrick Weke and Michael Kiura Kirumbu
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Davis Bundi Ntwiga: School of Mathematics, University of Nairobi, Nairobi, Kenya
Patrick Weke: School of Mathematics, University of Nairobi, Nairobi, Kenya
Michael Kiura Kirumbu: School of Sciences, Engineering and Health, Daystar University, Nairobi, Kenya

Interdisciplinary Description of Complex Systems - scientific journal, 2016, vol. 14, issue 3, 296-302

Abstract: 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 %.

Keywords: singular value decomposition; reputation; trust; social network; discounting (search for similar items in EconPapers)
JEL-codes: C65 (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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