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The structure of scientific collaboration networks

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Newman, M. E. J.·2001·Proceedings of the National Academy of Sciences

Abstract

The structure of scientific collaboration networks is investigated. Two scientists are considered connected if they have authored a paper together and explicit networks of such connections are constructed by using data drawn from a number of databases, including MEDLINE (biomedical research), the Los Alamos e-Print Archive (physics), and NCSTRL (computer science). I show that these collaboration networks form “small worlds,” in which randomly chosen pairs of scientists are typically separated by only a short path of intermediate acquaintances. I further give results for mean and distribution of numbers of collaborators of authors, demonstrate the presence of clustering in the networks, and highlight a number of apparent differences in the patterns of collaboration between the fields studied.

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Metadata

Authors
Newman, M. E. J.
Venue
Proceedings of the National Academy of Sciences
Published
2001-01-09
Volume
98
Issue
2
Pages
404-409
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2125315567
Cited by
4,482
References
4
FWCI
47.59
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The structure of scientific collaboration networks. https://app.cochat.ai/papers/10.1073/pnas.98.2.404
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Newman, M. E. J. (2001). The structure of scientific collaboration networks. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.98.2.404

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.