Opinion dynamics with median aggregation
Artikel i vetenskaplig tidskrift, 2026

Understanding the formation and evolution of opinions is of broad interdisciplinary interest. Many classical models for opinion formation focus on the impact of different notions of locality, e.g., locality due to network effects among agents or the role of the proximity of opinions. In practice, however, opinion formation is often governed by the interplay of local and global influences. In this paper, we study these influences with a model for opinion formation of agents embedded in a social network. Each agent has a static intrinsic opinion as well as a public opinion that is updated asynchronously over time. Moreover, agents have access to a global aggregate (e.g., the outcome of a vote) of all public opinions. We focus on the popular median voting rule and show that pure Nash equilibria always exist. For every initial state of the dynamics, a pure equilibrium can be reached. The set of reachable equilibria forms a complete lattice, and extremal equilibria can be computed in polynomial time. We show that by uniformly increasing the influence of the global median we can enforce that the median opinion is the same in every reachable equilibrium. We can compute the increase scheme that achieves this property in polynomial time. In contrast, when we can increase the influence of the global median for a set of at most k agents, finding the set that leads to a unique median opinion in every reachable equilibrium is NP-complete.

Opinion formation

Median voting

Nash equilibrium

Författare

Petra Berenbrink

Universität Hamburg

M. Hoefer

RWTH Aachen University

Dominik Kaaser

Technische Universität Hamburg-Harburg (TUHH)

Marten Maack

Universität Hamburg

Malin Rau

Chalmers, Matematiska vetenskaper, Tillämpad matematik och statistik

Göteborgs universitet

Lisa Wilhelmi

RWTH Aachen University

Artificial Intelligence

0004-3702 (ISSN)

Vol. 355 104527

Ämneskategorier (SSIF 2025)

Reglerteknik

DOI

10.1016/j.artint.2026.104527

Mer information

Senast uppdaterat

2026-04-17