Cited by 67Complex Network Analysis TechniquesOpinion Dynamics and Social InfluenceSocial Media and Politics

Network polarization, filter bubbles, and echo chambers: an annotated review of measures and reduction methods

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Interian, Ruben, G. Marzo, Ruslán, Mendoza, Isela, Ribeiro, Celso C.·2023·International Transactions in Operational Research

Abstract

Polarization arises when the underlying network connecting the members of a community or society becomes characterized by highly connected groups with weak intergroup connectivity. The increasing polarization, the strengthening of echo chambers, and the isolation caused by information filters in social networks are increasingly attracting the attention of researchers from different areas of knowledge such as computer science, economics, and social and political sciences. This work presents an annotated review of network polarization measures and models used to handle the polarization. Several approaches for measuring polarization in graphs and networks were identified, including those based on homophily, modularity, random walks, and balance theory. The strategies used for reducing polarization include methods that propose edge or node editions (including insertions or deletions as well as edge weight modifications), changes in social network design, or changes in the recommendation systems embedded in these networks.

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Cited by

Sorted by citations

Authors
Interian, R., G. Marzo, R., Mendoza, I., & Ribeiro, C. C.
Affiliations
  • Institute of Computing Universidade Federal Fluminense Niterói RJ 24210‐346 Brazil
  • Universidade Federal Fluminense (BR)
Venue
International Transactions in Operational Research
Publisher
Wiley
Published
2022-10-21
Volume
30
Issue
6
Pages
3122-3158
ISSN
  • 0969-6016 (ISSN-L)
  • 1475-3995
OpenAlex
W4307169212
Cited by
67
References
10
Citations by year
2026: 20 · 2025: 27 · 2024: 14 · 2023: 6
FWCI
4.43
Type
journal article
Language
en
Open access
Locations
  • International Transactions in Operational Research (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Funders
  • Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (E‐26/204.200/2021, E‐26/200.330/2020, E‐26/200.926/2021)
  • Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (001)
  • Conselho Nacional de Desenvolvimento Científico e Tecnológico (143289/2021‐7, 309869/2020‐0)
Topics
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Opinion Dynamics and Social Influence
  • Social Sciences › Communication › Social Media and Politics
Keywords
filter bubbles, echo chambers, polarization measures, homophily, modularity, random walks, balance theory, social networks, social network design, recommender systems

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