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Cited by 1,348

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Complex networks: Small-world, scale-free and beyond

Xiao Fan Wang, Guanrong Chen·2003·IEEE Circuits and Systems Magazine

Abstract

In the past few years, the discovery of small-world and scale-free properties of many natural and artificial complex networks has stimulated a great deal of interest in studying the underlying organizing principles of various complex networks, which has led to dramatic advances in this emerging and active field of research. The present article reviews some basic concepts, important progress, and significant results in the current studies of various complex networks, with emphasis on the relationship between the topology and the dynamics of such complex networks. Some fundamental properties and typical complex network models are described; and, as an example, epidemic dynamics are analyzed and discussed in some detail. Finally, the important issue of robustness versus fragility of dynamical synchronization in complex networks is introduced and discussed.

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Metadata

Authors
Wang, X. F., & Chen, G.
Venue
IEEE Circuits and Systems Magazine
Published
2003
Volume
3
Issue
1
Pages
6-20
ISSN
  • 0163-6812 (ISSN-L)
  • 1531-636X
OpenAlex
W2150649057
Cited by
1,348
References
3
FWCI
19.55
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Complex networks: Small-world, scale-free and beyond. https://app.cochat.ai/papers/10.1109/mcas.2003.1228503
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Wang, X. F., & Chen, G. (2003). Complex networks: Small-world, scale-free and beyond. IEEE Circuits and Systems Magazine. https://doi.org/10.1109/mcas.2003.1228503

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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.