Averager-copier-voter models for hybrid opinion dynamics in complex networks
Systems and Control
2019-04-01 v1 Optimization and Control
Physics and Society
Abstract
A hybrid model for opinion dynamics in complex multi-agent networks is introduced, wherein some continuous-valued agents average neighbors' opinions to update their own, while other discrete-valued agents use stochastic copying and voting protocols. A statistical and graph-theoretic analysis of the model is undertaken, and consensus is shown to be achieved whenever the network matrix is ergodic. Also, the time required for consensus is characterized, in terms of the network's graph and the distribution of agents of different types.
Cite
@article{arxiv.1903.12329,
title = {Averager-copier-voter models for hybrid opinion dynamics in complex networks},
author = {Mengran Xue and Sandip Roy},
journal= {arXiv preprint arXiv:1903.12329},
year = {2019}
}
Comments
Submitted to Automatica; preliminary work in this direction published in 2016 IFAC LSS Symposium