SIR rumor spreading model in the new media age
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
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]
Cites
Dynamics of rumor spreading in complex networks
Moreno, Y., Nekovee, M., & Pacheco, A. F. (2004) · Physical Review E · doi:10.1103/physreve.69.066130 · Cited by 949 · see citing works
Scale-free topology of e-mail networks
Ebel, H., Mielsch, L.-I., & Bornholdt, S. (2002) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.66.035103 · Cited by 945 · see citing works
Daley, D. J., & Kendall, D. G. (1964) · Nature · doi:10.1038/2041118a0 · Cited by 886 · see citing works
Email networks and the spread of computer viruses
Newman, M. E. J., Forrest, S., & Balthrop, J. (2002) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.66.035101 · Cited by 797 · see citing works
Theory of rumour spreading in complex social networks
Nekovee, M., Moreno, Y., Ginestra Bianconi, A., & Matteo Marsili, A. (2006) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2006.07.017 · Cited by 796 · see citing works
Daley, D. J., & KENDALL, D. G. (1965) · IMA Journal of Applied Mathematics · doi:10.1093/imamat/1.1.42 · Cited by 566 · see citing works
SIHR rumor spreading model in social networks
Zhao, L., Wang, J., Chen, Y., et al. (2011) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2011.12.008 · Cited by 404 · see citing works
Self-citationMathematical models and applications, with emphasis on the social, life, and management sciences
Mäki, D. P., & Thompson, M. (1973) · Prentice Hall eBooks · Cited by 259 · see citing works
Zhao, L., Wang, Q., Cheng, J., Chen, Y., Wang, J., & Huang, W. (2011) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2011.03.010 · Cited by 219 · see citing works
Self-citationPeterson, W. A., & Gist, N. P. (1951) · American Journal of Sociology · doi:10.1086/220916 · Cited by 216 · see citing works
Word of Mouth: Rumor Dissemination in Social Networks
Kostka, J., Oswald, Y. A., & Wattenhofer, R. P. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-69355-0_16 · Cited by 202 · see citing works
Modelling rumors: the no plane Pentagon French hoax case
Galam, S. (2003) · Physica A Statistical Mechanics and its Applications · doi:10.1016/s0378-4371(02)01582-0 · Cited by 198 · see citing works
Structure of a large social network
Cśanyi, G., & Szendröi, B. (2004) · Physical Review E · doi:10.1103/physreve.69.036131 · Cited by 154 · see citing works
Kosfeld, M. (2005) · Zurich Open Repository and Archive (University of Zurich) · doi:10.1016/j.jmateco.2004.05.001 · Cited by 115 · see citing works
The spread of a rumor or infection in a moving population
Kesten, H., & Sidoravičius, V. (2005) · The Annals of Probability · doi:10.1214/009117905000000413 · Cited by 111 · see citing works
Stochastic epidemics and rumours on finite random networks
Isham, V. S., Harden, S., & Nekovee, M. (2009) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2009.10.001 · Cited by 98 · see citing works
Structure of peer-to-peer social networks
Wang, F., Moreno, Y., & Sun, Y. (2006) · Physical Review E · doi:10.1103/physreve.73.036123 · Cited by 84 · see citing works
The impact of authorities’ media and rumor dissemination on the evolution of emergency
Zhao, L., Wang, Q. L., Cheng, J., et al. (2012) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2012.02.004 · Cited by 71 · see citing works
Self-citationRumors and the Financial Marketplace
Kimmėl, A. J. (2004) · Journal of Behavioral Finance · doi:10.1207/s15427579jpfm0503_1 · Cited by 56 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
The echo chamber effect on social media
Cinelli, M., De Francisci Morales, G., Galeazzi, A., Quattrociocchi, W., & Starnini, M. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2023301118 · Cited by 2,092 · see citing works
Shiller, R. J. (2017) · American Economic Review · doi:10.1257/aer.107.4.967 · Cited by 1,004 · see citing works
False Information on Web and Social Media: A Survey
Kumar, S., & Shah, N. (2018) · arXiv · doi:10.48550/arxiv.1804.08559 · Cited by 289 · see citing works
Quantifying echo chamber effects in information spreading over political communication networks
Cota, W., Ferreira, S. C., Pastor-Satorras, R., & Starnini, M. (2019) · EPJ Data Science · doi:10.1140/epjds/s13688-019-0213-9 · Cited by 146 · see citing works
- 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
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 ›
Are you an author, or do you see a problem with this page? Request a review