Network generation and evolution based on spatial and opinion dynamics components
arXiv:1901.03426 · doi:10.1142/S0129183119500773
Abstract
In this paper, a model for a spatial network evolution based on a Metropolis simulation is presented. The model uses an energy function that depends both on the distance between the nodes and the stated preferences. The agents influence their network neighbors opinions using the CODA model. That means each agent has a preference between two options based on its probabilistic assessment of which option is the best one. The algorithm generates realistic networks for opinion problems as well as temporal dynamics for those networks. The transition from a random state to an ordered situation, as temperature decreases, is described. Different types of networks appear based on the relative strength of the spatial and opinion components of the energy.
References in corpus (12)
- Statistical physics of social dynamics
- Nonequilibrium phase transition in the coevolution of networks and opinions
- Continuous Opinions and Discrete Actions in Opinion Dynamics Problems
- Critical behaviors in contagion dynamics
- Mobility and Social Network Effects on Extremist Opinions
- Bayesian Updating Rules in Continuous Opinion Dynamics Models
- Clout, Activists and Budget: The Road to Presidency
- Local rewiring rules for evolving complex networks
- Spatial Opinion Dynamics and the Effects of Two Types of Mixing
- The Spatial Dimension of Online Echo Chambers
- Topological Phase Transitions in Spatial Networks
- A Continuous Opinion Dynamic Model in Co-evolving Networks--A Novel Group Decision Approach