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Cited by 800

The DOI matches its Crossref record; 620 of the 620 references it cites were found in a registry or an index.

Analyzing and modeling real-world phenomena with complex networks: a survey of applications

Open access
Costa, Luciano da Fontoura, Oliveira, Osvaldo N., Travieso, Gonzalo, Rodrigues, Francisco Aparecido, Villas Boas, Paulino Ribeiro, Antiqueira, Lucas, Viana, Matheus Palhares, Correa Rocha, Luis Enrique·2011·Advances in Physics

Abstract

The success of new scientific areas can be assessed by their potential in contributing to new theoretical approaches and in applications to real-world problems. Complex networks have fared extremely well in both of these aspects, with their sound theoretical basis being developed over the years and with a variety of applications. In this survey, we analyze the applications of complex networks to real-world problems and data, with emphasis in representation, analysis and modeling. A diversity of phenomena are surveyed, which may be classified into no less than 11 areas, providing a clear indication of the impact of the field of complex networks.

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Registry

Crossref · 10.1080/00018732.2011.572452

Cites

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Metadata

Authors
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.
Venue
Advances in Physics
Published
2011-06
Volume
60
Issue
3
Pages
329-412
ISSN
  • 0001-8732 (ISSN-L)
  • 1460-6976
OpenAlex
W2129934604
Cited by
800
References
620
FWCI
43.81
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Analyzing and modeling real-world phenomena with complex networks: a survey of applications. https://app.cochat.ai/papers/10.1080/00018732.2011.572452
The paper
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). Analyzing and modeling real-world phenomena with complex networks: a survey of applications. Advances in Physics. https://doi.org/10.1080/00018732.2011.572452

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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.