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 (SVD) 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 SVD can estimate trust using the real valued matrix of the reputation ratings of the agents in the network.
SVD is an ideal technique in error elimination when estimating trust from reputation ratings. Reputation estimation of trust is optimal at the discounting of 20 %.

KEY WORDS

Singular value decomposition, reputation, trust, social network, discounting

CLASSIFICATION