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Cited by 377

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 access
Goh, Kwang-Il, Oh, Eulsik, Jeong, Hawoong, Kahng, Byungnam, Kim, Doochul·2002·Proceedings of the National Academy of Sciences

Abstract

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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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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CoChat. (2026). Citation check: Classification of scale-free networks. https://app.cochat.ai/papers/10.1073/pnas.202301299
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Goh, K.-I., Oh, E., Jeong, H., Kahng, B., & Kim, D. (2002). Classification of scale-free networks. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.202301299

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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