Trust model for social network using singular value decomposition
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 i...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Interdisciplinary Description of Complex Systems
2019
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| Subjects: | |
| Online Access: | https://repository.daystar.ac.ke/handle/123456789/2964 |
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Add Tag | Summary: | 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 %. |
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Lectures on resolution of singularities