Emergent centrality in rank-based supplanting process
arXiv:2209.02336 · doi:10.1103/PhysRevE.107.034114
Abstract
We propose a stochastic process of interacting many agents, which is inspired by rank-based supplanting dynamics commonly observed in a group of Japanese macaques. In order to characterize the breaking of permutation symmetry with respect to agents' rank in the stochastic process, we introduce a rank-dependent quantity, overlap centrality, which quantifies how often a given agent overlaps with the other agents. We give a sufficient condition in a wide class of the models such that overlap centrality shows perfect correlation in terms of the agents' rank in zero-supplanting limit. We also discuss a singularity of the correlation in the case of interaction induced by a Potts energy.
arXiv comment32 pages, 11 figures
References in corpus (13)
- Novel type of phase transition in a system of self-driven particles
- The architecture of complex weighted networks
- Universality classes in nonequilibrium lattice systems
- Phase transitions in an exactly soluble one-dimensional exclusion process
- Nonequilibrium Statistical Mechanics of the Zero-Range Process and Related Models
- Revisiting the flocking transition using active spins
- Lattice Models of Nonequilibrium Bacterial Dynamics
- Exact Hydrodynamic Description of Active Lattice Gases
- Phase Transition in the ABC Model
- Hohenberg-Mermin-Wagner type theorems for equilibrium models of flocking
- Continuous- and discrete-time Glauber dynamics. First- and second-order phase transitions in mean-field Potts models
- Lane formation in a lattice model for oppositely driven binary particles
- 1D Three-state mean-field Potts model with first- and second-order phase transitions