MATHEMATICAL FOUNDATIONS OF MODELING TRUST COMPUTATION IN COMPLEX NETWORKS

Abstract

Modeling trust computation in complex networks has become increas
ingly important in various domains, including social networks, telecom
munication networks, multi-agent systems, transportation and distributed
computing. This paper introduces a novel approach to modeling trust
based on two primary metrics: belief and trustworthiness. We explore
the theoretical foundations, computational methods of these metrics with
a functional approach and deep learning in modeling trust in complex
networks.