Gossip-Based Model for Opinion Dynamics with Probabilistic Group Interactions

Emerico Aguilar, Yasumasa Fujisaki
2020 Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications  
Classical models of opinion dynamics utilize deterministic methods to describe how opinions evolve within a social network. More recent models are shifting towards randomized processes to emulate real-world interactions. These include gossip-based models that use pairwise interactions to represent the opinion formation process. In this paper, we propose to extend the gossip-based models for opinion dynamics by allowing group interactions with randomly selected participants.
doi:10.5687/sss.2020.60 fatcat:tit436s2zvavnbc36e467ihufy