Cited by 263Complex Network Analysis TechniquesMisinformation and Its ImpactsMathematical and Theoretical Epidemiology and Ecology Models

SIR rumor spreading model in the new media age

Zhao, Laijun, Cui, Hongxin, Qiu, Xiaoyan, Wang, Xiaoli, Wang, Jiajia·2013·Physica A: Statistical Mechanics and its Applications

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Crossref · 10.1016/j.physa.2012.09.030

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19 of 19 references verified0 citation errors · 0 not checkable

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  • Classical epidemic models such as the susceptible-infected-recovered (SIR) model have been used to study the diffusion of information, such as rumors or news.

    “Classical epidemic models such as the susceptible–infected–recovered (SIR) model (44) have been used to study the diffusion of information, such as rumors or news (45–47).”

    From The echo chamber effect on social media (2021) · cites this paper as [46]

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Authors
Zhao, L., Cui, H., Qiu, X., Wang, X., & Wang, J.
Affiliations
Shanghai University (CN)
Corresponding author
Cui, Hongxin
Venue
Physica A: Statistical Mechanics and its Applications
Publisher
Elsevier BV
Published
2013-02
Volume
392
Issue
4
Pages
995-1003
ISSN
0378-4371 (ISSN-L)
OpenAlex
W2058904112
Cited by
263
References
19
Citations by year
2026: 13 · 2025: 13 · 2024: 14 · 2023: 10 · 2022: 30 · 2021: 31 · 2020: 29 · 2019: 30 · 2018: 22 · 2017: 14 · 2016: 18 · 2015: 17 · 2014: 15 · 2013: 7
FWCI
9.45
Type
journal article
Language
en
Open access
closed
Locations
  • Physica A Statistical Mechanics and its Applications (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
  • National Natural Science Foundation of China (90924030)
  • Shanghai Education Commission (09SG38)
Topics
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
  • Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mathematical and Theoretical Epidemiology and Ecology Models
Keywords
rumor propagation, SIR model, new media, microblogging, parameter sensitivity analysis

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