English

A multi-opinion evolving voter model with infinitely many phase transitions

Physics and Society 2015-06-15 v1 Disordered Systems and Neural Networks Social and Information Networks Probability Adaptation and Self-Organizing Systems

Abstract

We consider an idealized model in which individuals' changing opinions and their social network coevolve, with disagreements between neighbors in the network resolved either through one imitating the opinion of the other or by reassignment of the discordant edge. Specifically, an interaction between xx and one of its neighbors yy leads to xx imitating yy with probability (1α)(1-\alpha) and otherwise (i.e., with probability α\alpha) xx cutting its tie to yy in order to instead connect to a randomly chosen individual. Building on previous work about the two-opinion case, we study the multiple-opinion situation, finding that the model has infinitely many phase transitions. Moreover, the formulas describing the end states of these processes are remarkably simple when expressed as a function of β=α/(1α)\beta = \alpha/(1-\alpha).

Keywords

Cite

@article{arxiv.1303.7434,
  title  = {A multi-opinion evolving voter model with infinitely many phase transitions},
  author = {Feng Shi and Peter J. Mucha and Rick Durrett},
  journal= {arXiv preprint arXiv:1303.7434},
  year   = {2015}
}

Comments

15 pages, 6 figures

R2 v1 2026-06-21T23:50:22.890Z