Coevolution of agents and networks: Opinion spreading and community disconnection
Statistical Mechanics
2009-11-11 v1 Disordered Systems and Neural Networks
Physics and Society
Abstract
We study a stochastic model for the coevolution of a process of opinion formation in a population of agents and the network which underlies their interaction. Interaction links can break when agents fail to reach an opinion agreement. The structure of the network and the distribution of opinions over the population evolve towards a state where the population is divided into disconnected communities whose agents share the same opinion. The statistical properties of this final state vary considerably as the model parameters are changed. Community sizes and their internal connectivity are the quantities used to characterize such variations.
Keywords
Cite
@article{arxiv.cond-mat/0603295,
title = {Coevolution of agents and networks: Opinion spreading and community disconnection},
author = {Santiago Gil and Damian H. Zanette},
journal= {arXiv preprint arXiv:cond-mat/0603295},
year = {2009}
}
Comments
To appear in Phys. Lett. A