We rely on trust in our day to day interactions and activities with each other. It is not easy to estimate it but we offer a
simple and powerful method for estimating trust levels of agents in a social network using data from the agents’
reputation matrix. The reputation resultant method (RRM) is based on the mean values of the reputation rating matrix
and the reputation resultant matrix. Reputation ratings are derived from the agents’ peer to peer ratings and the
resultant reputation data is the relative reputation ratings by the agents. A comparison is made between the results of
Singular value decomposition (SVD) and our new method, the RRM. The two methods offer results that are highly
comparative with the RRM being simple, powerful and easy to understand and implement.