Newman M E J
Center for the Study of Complex Systems and Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA.
Proc Natl Acad Sci U S A. 2004 Apr 6;101 Suppl 1(Suppl 1):5200-5. doi: 10.1073/pnas.0307545100. Epub 2004 Jan 26.
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.
分别利用生物学、物理学和数学领域三个文献数据库中的数据构建网络,其中节点为科学家,若两位科学家共同撰写过一篇论文,则二者相连。我们利用这些网络来回答有关合作模式的各种问题,比如作者撰写的论文数量、与他们合作撰写论文的人数、科学家在网络中的典型距离是多少,以及不同学科之间和不同时间的合作模式如何变化。我们还总结了其他作者最近关于共同作者模式的一些研究成果。