Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality

M. E. J. Newman
Phys. Rev. E 64, 016132 – Published 28 June 2001; Erratum Phys. Rev. E 73, 039906 (2006)
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Abstract

Using computer databases of scientific papers in physics, biomedical research, and computer science, we have constructed networks of collaboration between scientists in each of these disciplines. In these networks two scientists are considered connected if they have coauthored one or more papers together. Here we study a variety of nonlocal statistics for these networks, such as typical distances between scientists through the network, and measures of centrality such as closeness and betweenness. We further argue that simple networks such as these cannot capture variation in the strength of collaborative ties and propose a measure of collaboration strength based on the number of papers coauthored by pairs of scientists, and the number of other scientists with whom they coauthored those papers.

  • Received 1 February 2001

DOI:https://doi.org/10.1103/PhysRevE.64.016132

©2001 American Physical Society

Erratum

Authors & Affiliations

M. E. J. Newman

  • Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, New Mexico 87501
  • Center for Applied Mathematics, Cornell University, Rhodes Hall, Ithaca, New York 14853

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Vol. 64, Iss. 1 — July 2001

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