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Trust Model For Social Network Using Singular Value Decomposition
(University of Nairobi, 2016)
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 ...
Trust and Distrust: A Reputation Ratings Approach
(2016)
Agents’ reputation ratings in a social network form a real valued matrix which is discounted with singular
value decomposition (SVD) to estimate the trust and distrust levels of agents. SVD eliminates noise as future ...
Consumer lending using social media data
(University of Nairobi, 2016)
Consumer credit has been around for a long period of time but the dynamics observable from the consumers
makes it hard to credit score and lend to the consumers. This difficulty results in the poor being excluded ...
Modeling trust in social networks
(University of Nairobi, 2016)
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 ...
Financial time series modelling of trends and patterns in the energy markets
(University of Nairobi, 2016)
Precise recognition of a time series path is important to policy makers, statisticians, economists, traders, hedgers and speculators alike. The correct time series path is also a key ingredient in pricing models. This study ...