The DOI matches its Crossref record; 119 of the 119 references it cites were found in a registry or an index.
Complex networks
Open accessAbstract
We briefly describe the toolkit used for studying complex systems: nonlinear dynamics, statistical physics, and network theory. We place particular emphasis on network theory--the topic of this special issue--and its importance in augmenting the framework for the quantitative study of complex systems. In order to illustrate the main issues, we briefly review several areas where network theory has led to significant developments in our understanding of complex systems. Specifically, we discuss changes, arising from network theory, in our understanding of (i) the Internet and other communication networks, (ii) the structure of natural ecosystems, (iii) the spread of diseases and information, (iv) the structure of cellular signalling networks, and (v) infrastructure robustness. Finally, we discuss how complexity requires both new tools and an augmentation of the conceptual framework--including an expanded definition of what is meant by a “quantitative prediction.”
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Cites
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Error and attack tolerance of complex networksPreprint
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Cited by
Complex brain networks: graph theoretical analysis of structural and functional systems
Bullmore, E., & Sporns, O. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2575 · Cited by 11,820
Functional cartography of complex metabolic networks
Guimerà, R., & Nunes Amaral, L. A. (2005) · Nature · doi:10.1038/nature03288 · Cited by 3,983
Guimerà, R., Mossa, S., Turtschi, A., & Amaral, L. A. N. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0407994102 · Cited by 1,762
Self-citationSelf-similarity of complex networks
Song, C., Havlin, S., & Makse, H. A. (2005) · Nature · doi:10.1038/nature03248 · Cited by 1,495
Team Assembly Mechanisms Determine Collaboration Network Structure and Team Performance
Guimerà, R., Uzzi, B., Spiro, J., & Amaral, L. A. N. (2005) · Science · doi:10.1126/science.1106340 · Cited by 1,126
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Metadata
- Authors
- Amaral, L. A. N., & Ottino, J. M.
- Venue
- The European Physical Journal B - Condensed Matter
- Published
- 2004-03-01
- Volume
- 38
- Issue
- 2
- Pages
- 147-162
- ISSN
- 1434-6028 (ISSN-L)
- 1434-6036
- OpenAlex
- W1632705170
- Cited by
- 493
- References
- 119
- FWCI
- 15.47
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.
