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Cited by 201

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Spatial growth of real-world networks

Open access
Kaiser, Marcus, Hilgetag, Claus C.·2004·Physical Review E

Abstract

Many real-world networks have properties of small-world networks, with clustered local neighborhoods and low average-shortest path. They may also show a scale-free degree distribution, which can be generated by growth and preferential attachment to highly connected nodes, or hubs. However, many real-world networks consist of multiple, interconnected clusters not normally seen in systems grown by preferential attachment, and there also exist real-world networks with a scale-free degree distribution that do not contain highly connected hubs. We describe spatial-growth mechanisms, not using preferential attachment, that address both aspects.

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Metadata

Authors
Kaiser, M., & Hilgetag, C. C.
Venue
Physical Review E
Published
2004-03-09
Volume
69
Issue
3
Pages
036103-036103
ISSN
  • 1539-3755 (ISSN-L)
  • 1550-2376
OpenAlex
W2029109606
Cited by
201
References
2
FWCI
10.23
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Spatial growth of real-world networks. https://app.cochat.ai/papers/10.1103/physreve.69.036103
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Kaiser, M., & Hilgetag, C. C. (2004). Spatial growth of real-world networks. Physical Review E. https://doi.org/10.1103/physreve.69.036103

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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.