Trust- and reputation-based opinion dynamics modelling over temporal networks

Trust and reputation are a person's belief over another person and are essential factors while opinion values are shared among online social platforms. Both the values are calculated using past shared opinions and the structure of the network. Further, a credibility score is calculated using the trust and reputation of the nodes, which is helpful to share the opinion values more accurately. In this work, an opinion dynamics temporal network is modelled using the credibility score of the nodes in the network. The addition and deletion of the edges and the opinion evolution occur on the basis of the credibility score of the nodes. Results are analysed over scale-free networks generated using Bollabas et al. model. Such scale-free networks are evolved over time termed as temporal network using the proposed model. It is analysed how the different threshold values on the credibility score of the nodes affect the opinion values convergence on the proposed model.

Automated summary

Trust and reputation play vital roles in shaping shared opinion values on online social platforms. This study proposes a model that utilizes the credibility score of nodes to create an opinion dynamics temporal network, and explores how different threshold values of the credibility score affect the convergence of opinion values.