Modeling trust in social networks
Date
2016Author
Ntwiga, Davis
Weke, Patrick
Manene, Moses
Mwaniki, Joseph
Type
ArticleLanguage
enMetadata
Show full item recordAbstract
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.
Publisher
University of Nairobi
Rights
Attribution-NonCommercial-NoDerivs 3.0 United StatesUsage Rights
http://creativecommons.org/licenses/by-nc-nd/3.0/us/Collections
The following license files are associated with this item: