The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Epidemic dynamics on complex networks*
Abstract
Abstract Recently, motivated by the pioneer work in revealing the small-world effect and scale-free property of various real-life networks, many scientists devote themselves to studying complex networks. One of the ultimate goals is to understand how the topological structures affect the dynamics upon networks. In this paper, we give a brief review on the studies of epidemic dynamics on complex networks, including by description of classical epidemic models, the epidemic spread on small-world and scale-free networks, and network immunization. Finally, perspectives and some interesting problems are proposed. * Supported National Natural Science Foundation of China (Grant Nos. 70471033, 10472116, and 70271070), and the Specialized Research Fund for the Doctoral Program of Higher Education (Grant No. 20020358009)
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Bollobás, B. (2001) · doi:10.1017/cbo9780511814068 · Cited by 2,639
Maximal planar networks with large clustering coefficient and power-law degree distribution
Zhou, T., Yan, G., & Wang, B.-H. (2005) · Physical Review E · doi:10.1103/physreve.71.046141 · Cited by 265
Self-citation
Cited by
Analyzing and modeling real-world phenomena with complex networks: a survey of applications
Costa, L. D. F., Oliveira, O. N., Travieso, G., Rodrigues, F. A., Villas Boas, P. R., Antiqueira, L., Viana, M. P., & Correa Rocha, L. E. (2011) · Advances in Physics · doi:10.1080/00018732.2011.572452 · Cited by 800
Detecting critical nodes in sparse graphs
Arulselvan, A., Commander, C. W., Elefteriadou, L., & Pardalos, P. M. (2009) · Computers & Operations Research · doi:10.1016/j.cor.2008.08.016 · Cited by 381
Identifying Influential Nodes in Large-Scale Directed Networks: The Role of Clustering
Chen, D.-B., Gao, H., Lü, L., & Zhou, T. (2013) · PLoS ONE · doi:10.1371/journal.pone.0077455 · Cited by 364
Behaviors of susceptible-infected epidemics on scale-free networks with identical infectivity
Zhou, T., Liu, J.-G., Bai, W.-J., Chen, G., & Wang, B.-H. (2006) · Physical Review E · doi:10.1103/physreve.74.056109 · Cited by 286
Coevolution spreading in complex networks
Wang, W., Liu, Q.-H., Liang, J., Hu, Y., & Zhou, T. (2019) · Physics Reports · doi:10.1016/j.physrep.2019.07.001 · Cited by 286
Metadata
- Authors
- Tao, Z., Zhongqian, F., & Binghong, W.
- Venue
- Progress in Natural Science
- Publisher
- Informa UK Limited
- Published
- 2006-05-01
- Volume
- 16
- Issue
- 5
- Pages
- 452-457
- ISSN
- 1002-0071 (ISSN-L)
- 1745-5391
- OpenAlex
- W1486447486
- Cited by
- 159
- References
- 2
- FWCI
- 6.23
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Epidemic dynamics on complex networks*. https://app.cochat.ai/papers/10.1080/10020070612330019
- The paper
- Tao, Z., Zhongqian, F., & Binghong, W. (2006). Epidemic dynamics on complex networks*. Progress in Natural Science. https://doi.org/10.1080/10020070612330019
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
