CLASSES OF FUNCTIONS FOR PROPAGATION OF TOPIC TRUST IN SOCIAL NETWORK

Abstract

The purpose of this paper is to study functions for computing topic trust in social networks. The focus is to describe classes of functions for propagation of trust among connected peers. Some of them represent properties of relationships between user’s interests on topic and trust trustworthiness. Some other functions describe computational methods of topic trust values along a path and from various paths. Based on these  classes of functions, we construct an algorithm for computing topic trust via propagation of topic trust among nodes.