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Cited by 2,093

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Clustering and preferential attachment in growing networks

Open access
Newman, M. E. J.·2001·Physical Review E

Abstract

We study empirically the time evolution of scientific collaboration networks in physics and biology. In these networks, two scientists are considered connected if they have coauthored one or more papers together. We show that the probability of a pair of scientists collaborating increases with the number of other collaborators they have in common, and that the probability of a particular scientist acquiring new collaborators increases with the number of his or her past collaborators. These results provide experimental evidence in favor of previously conjectured mechanisms for clustering and power-law degree distributions in networks.

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Metadata

Authors
Newman, M. E. J.
Venue
Physical Review E
Published
2001-07-26
Volume
64
Issue
2
Pages
025102-025102
ISSN
  • 1063-651X (ISSN-L)
  • 1095-3787
OpenAlex
W1556758605
Cited by
2,093
References
19
FWCI
12.77
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Clustering and preferential attachment in growing networks. https://app.cochat.ai/papers/10.1103/physreve.64.025102
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Newman, M. E. J. (2001). Clustering and preferential attachment in growing networks. Physical Review E. https://doi.org/10.1103/physreve.64.025102

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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.