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Phys Rev E Stat Nonlin Soft Matter Phys. 2001 Jul;64(1 Pt 2):016132. Epub 2001 Jun 28.

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

Author information

1
Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, New Mexico 87501, USA.

Erratum in

  • Phys Rev E Stat Nonlin Soft Matter Phys. 2006 Mar;73(3 Pt 2):039906.

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.

PMID:
11461356
DOI:
10.1103/PhysRevE.64.016132

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