The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Classification of scale-free networks
Open accessAbstract
While the emergence of a power-law degree distribution in complex networks is intriguing, the degree exponent is not universal. Here we show that the betweenness centrality displays a power-law distribution with an exponent η, which is robust, and use it to classify the scale-free networks. We have observed two universality classes with η ≈ 2.2(1) and 2.0, respectively. Real-world networks for the former are the protein-interaction networks, the metabolic networks for eukaryotes and bacteria, and the coauthorship network, and those for the latter one are the Internet, the World Wide Web, and the metabolic networks for Archaea. Distinct features of the mass-distance relation, generic topology of geodesics, and resilience under attack of the two classes are identified. Various model networks also belong to either of the two classes, while their degree exponents are tunable.
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Cites
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Error and attack tolerance of complex networks
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Self-citationError and attack tolerance of complex networksPreprint
Albert, R., Jeong, H., & Barabási, A.-Ĺ. (2000) · Cited by 6,467
Self-citationLethality and centrality in protein networks
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Self-citationThe Large-Scale Organization of Metabolic Networks
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Self-citationThe structure of scientific collaboration networks
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The Structure and Function of Complex Networks
Newman, M. E. J. (2003) · SIAM Review · doi:10.1137/s003614450342480 · Cited by 18,719
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Random Walks on Complex Networks
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Flexible nets: The roles of intrinsic disorder in protein interaction networks
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Broido, A. D., & Clauset, A. (2019) · Nature Communications · doi:10.1038/s41467-019-08746-5 · Cited by 875
Metadata
- Authors
- Goh, K.-I., Oh, E., Jeong, H., Kahng, B., & Kim, D.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2002-09-18
- Volume
- 99
- Issue
- 20
- Pages
- 12583-12588
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2047537480
- Cited by
- 377
- References
- 31
- FWCI
- 12.33
- Type
- journal article
- Language
- en
- Open access
- green
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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.