Comparison of Opinion Polarization on Single-Layer and Multiplex Networks

Sonoko Kimura*, Kimitaka Asatani, Toshiharu Sugawara

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper investigates how opinions are polarized by simulating opinion formation with Q-learning in multiplex networks. People sometimes change their opinions to accommodate themselves to the surrounding people in communities, but opinions may still be polarized. To investigate the mechanism of opinion polarization, many studies including studies using agent-based simulations were conducted, but most of these simulations were performed by assuming that people belong to a single community. A number of studies assumed multiple communities, but they usually considered only simple opinion formation methods and more studies are needed. In this paper, we propose an opinion formation model on multiplex networks using Q-learning for agents to identify better individual opinions and analyze how opinions are polarized or agreed on various network structures. Our experiments indicate that opinions are more likely to lead to a consensus on multiplex networks than on single-layer networks. They also suggested that opinions are easily polarized when their cluster coefficient were high and the characteristic path length were longer.

Original languageEnglish
Title of host publicationComplex Networks and Their Applications VIII - Volume 2 Proceedings of the 8th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019
EditorsHocine Cherifi, Sabrina Gaito, José Fernendo Mendes, Esteban Moro, Luis Mateus Rocha
Number of pages13
ISBN (Print)9783030366827
Publication statusPublished - 2020
Event8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019 - Lisbon, Portugal
Duration: 2019 Dec 102019 Dec 12

Publication series

NameStudies in Computational Intelligence
Volume882 SCI
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503


Conference8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019


  • Multiplex networks
  • Opinion formation
  • Opinion polarization

ASJC Scopus subject areas

  • Artificial Intelligence


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