The lecture by Tuan Pham will take place at the Complexity Science Hub Vienna.
If you are interested in participating, please email to email@example.com
We study opinion dynamics on a network of friendships and enmities, where agents’ opinions and the relationships among them coevolve, although on separate timescales. We model the agents opinions and their relationships as binary spins and coupling constants, respectively. The dynamics of both spins and couplings are implemented via the Metropolis algorithm, assuming they are coupled to heat baths at different temperatures.
For this coevolutionary dynamics, at equilibrium, we find a continuous transition from an ordered phase, where agents are partitioned into two antagonistic groups to a mixed phase, where the bipartition disappears and opinions are randomly distributed amongst agents. If only the agents’ relationships change over time while the opinions remain unchanged, then, in addition to the disappearance of the network bipartition, we observe a spin-glass-like transition from a unique network configuration to multiple possible configurations.