The Structure of Scientific Collaboration Networks
AbstractWe investigate the structure of scientific collaboration networks. We consider two scientists to be connected if they have authored a paper together, and construct explicit networks of such connections using data drawn from a number of databases, including MEDLINE (biomedical research), the Los Alamos e-Print Archive (physics), and NCSTRL (computer science). We 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. We 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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Bibliographic InfoPaper provided by Santa Fe Institute in its series Working Papers with number 00-07-037.
Date of creation: Jul 2000
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This paper has been announced in the following NEP Reports:
- NEP-ENT-2001-07-17 (Entrepreneurship)
- NEP-EVO-2001-07-17 (Evolutionary Economics)
- NEP-NET-2001-07-17 (Network Economics)
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