Coauthorship networks and patterns of scientific collaboration.

by: ME Newman

Proc Natl Acad Sci U S A, Vol. 101 Suppl 1 (6 April 2004), pp. 5200-5205.

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Abstract

By using data from three bibliographic databases in biology, physics, and mathematics, respectively, networks are constructed in which the nodes are scientists, and two scientists are connected if they have coauthored a paper. We use these networks to answer a broad variety of questions about collaboration patterns, such as the numbers of papers authors write, how many people they write them with, what the typical distance between scientists is through the network, and how patterns of collaboration vary between subjects and over time. We also summarize a number of recent results by other authors on coauthorship patterns.

@article{citeulike:761350, abstract = {By using data from three bibliographic databases in biology, physics, and mathematics, respectively, networks are constructed in which the nodes are scientists, and two scientists are connected if they have coauthored a paper. We use these networks to answer a broad variety of questions about collaboration patterns, such as the numbers of papers authors write, how many people they write them with, what the typical distance between scientists is through the network, and how patterns of collaboration vary between subjects and over time. We also summarize a number of recent results by other authors on coauthorship patterns.}, address = {Center for the Study of Complex Systems and Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA. mejn@umich.edu}, author = {Newman, M. E. }, citeulike-article-id = {761350}, doi = {10.1073/pnas.0307545100}, issn = {0027-8424}, journal = {Proc Natl Acad Sci U S A}, keywords = {co-authorship, communication, patterns, scholarly}, month = {April}, pages = {5200--5205}, posted-at = {2006-12-20 15:17:31}, priority = {3}, title = {Coauthorship networks and patterns of scientific collaboration.}, url = {http://dx.doi.org/10.1073/pnas.0307545100}, volume = {101 Suppl 1}, year = {2004} }

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TY - JOUR ID - citeulike:761350 L3 - citeulike-article-id:761350 TI - Coauthorship networks and patterns of scientific collaboration. JF - Proc Natl Acad Sci U S A VL - 101 Suppl 1 SP - 5200 EP - 5205 AD - Center for the Study of Complex Systems and Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA. mejn@umich.edu SN - 0027-8424 N2 - By using data from three bibliographic databases in biology, physics, and mathematics, respectively, networks are constructed in which the nodes are scientists, and two scientists are connected if they have coauthored a paper. We use these networks to answer a broad variety of questions about collaboration patterns, such as the numbers of papers authors write, how many people they write them with, what the typical distance between scientists is through the network, and how patterns of collaboration vary between subjects and over time. We also summarize a number of recent results by other authors on coauthorship patterns. KW - co-authorship KW - communication KW - patterns KW - scholarly AU - Newman, ME PY - 2004/04/06/ UR - http://dx.doi.org/10.1073/pnas.0307545100 ER -

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