Homophilic networks evolving by mimesis
Physics and Society
2020-08-14 v1 Social and Information Networks
Abstract
We provide a mathematical model for networks based on similarities (homophily) and evolving by mutual imitation (mimesis). We show that such social networks will converge to a state of segregation, where the in-group interactions will be maximal and there will be no out-group flow of information. We establish some connections between our model and the Wolfram model for fundamental physics.
Cite
@article{arxiv.2008.05894,
title = {Homophilic networks evolving by mimesis},
author = {Jose Manuel Rodriguez Caballero},
journal= {arXiv preprint arXiv:2008.05894},
year = {2020}
}