Trust model for social network using singular value decomposition

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dc.contributor.authorNtwiga, Davis Bundi
dc.contributor.authorWeke, Patrick
dc.contributor.authorKirumbu, Michael Kiura
dc.date.accessioned2019-09-04T08:50:58Z
dc.date.available2019-09-04T08:50:58Z
dc.date.issued2016-06-01
dc.description.abstractFor 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 %.en_US
dc.identifier.citationTrust model for social network using singular value decomposition by Kirumbu, Michael Kiura(et..al),Interdisciplinary Description of Complex Systems,2016en_US
dc.identifier.urihttps://repository.daystar.ac.ke/handle/123456789/2964
dc.language.isoenen_US
dc.publisherInterdisciplinary Description of Complex Systemsen_US
dc.subjectDiscountingen_US
dc.subjectSocial networken_US
dc.subjectTrusten_US
dc.subjectReputationen_US
dc.subjectSingular value decompositionen_US
dc.titleTrust model for social network using singular value decompositionen_US
dc.typeArticleen_US

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