Coauthorship networks and patterns of scientific collaboration.
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.
Newman
M E J
ME
Center for the Study of Complex Systems and Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA. mejn@umich.edu
D001319:Authorship; D015233:Models, Statistical; D016571:Neural Networks, Computer; D010506:Periodicals as Topic