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Polarization and Belief Convergence of Agents in Strongly-Connected Influence Graphs
[article]
2020
arXiv
pre-print
We describe a model for polarization in multi-agent systems based on Esteban and Ray's classic measure of polarization from economics. Agents evolve by updating their beliefs (opinions) based on the beliefs of others and an underlying influence graph. We show that polarization eventually disappears (converges to zero) if the influence graph is strongly-connected. If the influence graph is a circulation we determine the unique belief value all agents converge to. For clique influence graphs we
arXiv:2012.02703v1
fatcat:x6te2mcy2bchndhicvud6hhj7a