The structure of scientific collaboration networks.
The structure of scientific collaboration networks.
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DOI：
10.1073/pnas.98.2.404
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发表时间：
2000-07
影响因子：
11.1
通讯作者：
M. Newman
中科院分区：
文献类型：
--
作者：
M. Newman
研究了科学协作网络的结构。如果两名科学家将论文撰写在一起，并且通过使用来自许多数据库的数据（包括Medline（生物医学研究）），Los Alamos E-Print Archive（Physics）和NCSTRL来构建此类连接的明确网络，并将其视为连接。 （计算机科学）。我表明，这些协作网络形成了“小世界”，其中随机选择的科学家通常仅通过中间熟人的短道路来分开。我进一步为作者合作者数量的平均值和分布提供了结果，证明了网络中聚类的存在，并突出了所研究的领域之间协作模式的许多明显差异。
The structure of scientific collaboration networks is investigated. Two scientists are considered connected if they have authored a paper together and explicit networks of such connections are constructed by using data drawn from a number of databases, including MEDLINE (biomedical research), the Los Alamos e-Print Archive (physics), and NCSTRL (computer science). I 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. I 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.