Gossip-based model for opinion dynamics with probabilistic group interactions
College of Computer Studies
Proceedings of the 51st 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.
Aguilar, E. H., & Fujisaki, Y. (2019). Gossip-based model for opinion dynamics with probabilistic group interactions. Proceedings of the 51st ISCIE International Symposium on Stochastic Systems Theory and Its Applications, 60. Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/9098