The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
An epidemic model of rumor diffusion in online social networks
Overview
Integrity signals
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Cites
Statistics
Verification
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?
In the citing paper
“Rumour diffusion is often dependent on the strength of ties between users, where rumours are more likely to be spread across strong ties in a network (Cheng et al. 2013).”
From Detection and Resolution of Rumours in Social Media: A Survey (2019) · cites this paper as Cheng et al. 2013
Citations
Cites
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Cited by
Sorted by citations
Detection and Resolution of Rumours in Social Media: A Survey
Zubiaga, A., Aker, A., Bontcheva, K., Liakata, M., & Procter, R. (2019) · ACM Computing Surveys · doi:10.1145/3161603 · Cited by 862
“Rumour diffusion is often dependent on the strength of ties between users, where rumours are more likely to be spread across strong ties in a network [Cheng et al. 2013].”
Background
Metadata
- Authors
- Cheng, J.-J., Liu, Y., Shen, B., & Yuan, W.-G.
- Affiliations
- Beijing Municipal Education Commission (CN)
- Corresponding author
- Liu, Yun
- Venue
- The European Physical Journal B
- Published
- 2013-01
- Volume
- 86
- Issue
- 1
- ISSN
- 1434-6028 (ISSN-L)
- 1434-6036
- OpenAlex
- W2046709315
- Cited by
- 90
- References
- 2
- Citations by year
- 2026: 6 · 2025: 2 · 2024: 4 · 2023: 6 · 2022: 6 · 2021: 9 · 2020: 13 · 2019: 4 · 2018: 11 · 2017: 4 · 2016: 10 · 2015: 4 · 2014: 6 · 2013: 5
- FWCI
- 5.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- The European Physical Journal B (publishedVersion)
- Springer Link (Chiba Institute of Technology) (submittedVersion)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Opinion Dynamics and Social Influence
- Keywords
- rumor propagation, epidemic modeling, social networking sites, tie strength, stochastic epidemic model, scale-free networks, weak ties, decay probability, power-law scaling
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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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: An epidemic model of rumor diffusion in online social networks. https://app.cochat.ai/papers/10.1140/epjb/e2012-30483-5
- The paper
- Cheng, J.-J., Liu, Y., Shen, B., & Yuan, W.-G. (2013). An epidemic model of rumor diffusion in online social networks. The European Physical Journal B. https://doi.org/10.1140/epjb/e2012-30483-5
