The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Measuring and moderating opinion polarization in social networks
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“Many traditional methods, such as modularity or assortativity, rely on simplistic null models that often fail to capture the complex dynamics of the real-world networks [16, 23].”
From DSP: A Statistically-Principled Structural Polarization Measure (2026) · cites this paper as [23]
In the citing paper
“For example, in a study of collaboration networks, Leifeld [23] found that assortative mixing could indicate polarization, but interventions targeting it had little effect on the macroscopic polarization of the network.”
From DSP: A Statistically-Principled Structural Polarization Measure (2026) · cites this paper as [23]
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Metadata
- Authors
- Matakos, A., Terzi, E., & Tsaparas, P.
- Affiliations
- University of Ioannina (GR)
- Boston University (US)
- Corresponding author
- Matakos, Antonis
- Venue
- Data Mining and Knowledge Discovery
- Published
- 2017-07-15
- Volume
- 31
- Issue
- 5
- Pages
- 1480-1505
- ISSN
- 1384-5810 (ISSN-L)
- 1573-756X
- OpenAlex
- W2734474937
- Cited by
- 164
- References
- 35
- Citations by year
- 2026: 15 · 2025: 20 · 2024: 23 · 2023: 25 · 2022: 17 · 2021: 19 · 2020: 23 · 2019: 9 · 2018: 13
- FWCI
- 6.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Data Mining and Knowledge Discovery (publishedVersion)
- Funders
- H2020 Marie Skłodowska-Curie Actions (JMUGCS)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Opinion Dynamics and Social Influence
- Social Sciences › Communication › Social Media and Politics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Keywords
- opinion polarization, social networks, polarization index, echo chambers, polarization reduction, NP-hardness, polynomial-time algorithms, social media, controversial issues
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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