Cross-community affinity: A polarization measure for multi-community networks
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RWC scores on real-world networks are often preserved after randomization with null models that preserve basic degree structure for d=0 and d=1.
“Its scores on real-world networks are often preserved even after randomization with null models that preserve basic degree structure (for 𝑑 = 0 and 𝑑 = 1 using the dk-series terminology [25]).”
From DSP: A Statistically-Principled Structural Polarization Measure (2026) · cites this paper as [25]
Cites
The Origins and Consequences of Affective Polarization in the United States
Iyengar, S., Lelkes, Y., Levendusky, M., Malhotra, N., & Westwood, S. J. (2019) · Annual Review of Political Science · doi:10.1146/annurev-polisci-051117-073034 · Cited by 3,317 · see citing works
Political Polarization on Twitter
Conover, M., Ratkiewicz, J., Francisco, M., Goncalves, B., Menczer, F., & Flammini, A. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v5i1.14126 · Cited by 626 · see citing works
Reiljan, A. (2020) · European Journal of Political Research · doi:10.1111/1475-6765.12351 · Cited by 592 · see citing works
Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings
Demszky, D., Garg, N., Voigt, R., Zou, J., Shapiro, J., Gentzkow, M., & Jurafsky, D. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · doi:10.18653/v1/n19-1304 · Cited by 164 · see citing works
Measuring and moderating opinion polarization in social networks
Matakos, A., Terzi, E., & Tsaparas, P. (2017) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-017-0527-9 · Cited by 164 · see citing works
Quantifying Controversy in Social Media
Garimella, K., De Francisci Morales, G., Gionis, A., & Mathioudakis, M. (2016) · Proceedings of the Ninth ACM International Conference on Web Search and Data Mining · doi:10.1145/2835776.2835792 · Cited by 147 · see citing works
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DSP: A Statistically-Principled Structural Polarization Measure
Preti, G., Riondato, M., Gionis, A., & De Francisci Morales, G. (2026) · Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining · doi:10.1145/3773966.3777942
- Authors
- Nair, S., & Iamnitchi, A.
- Affiliations
- University of South Florida (US)
- Maastricht University (NL)
- Corresponding author
- Nair, Sreeja
- Venue
- Online Social Networks and Media
- Publisher
- Elsevier BV
- Published
- 2024-11
- Volume
- 43-44
- Pages
- 100280
- ISSN
- 2468-6964 (ISSN-L)
- OpenAlex
- W4401822700
- Cited by
- 3
- References
- 6
- Citations by year
- 2026: 2 · 2025: 1
- FWCI
- 0.42
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Online Social Networks and Media (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Social Sciences › Communication › Social Media and Politics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Opinion Dynamics and Social Influence
- Keywords
- polarization measures, heterophily, ideological communities, synthetic networks, assortativity, modularity
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.
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