科研合作网络多数据源加权模型研究被引量：3

Research on the Weighted Model of Multi-source Data in S&T Collaboration Network

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摘要文章构建多数据源情况下的科研合作网络模型,结合加权、数理统计、关系网络的理论和方法,对案例进行分析。检索SCI、EI、CNKI等多数据源的个人科研数据并清洗、去重、中英文姓名映射,分别建立不同来源数据的邻接矩阵以及合并后的邻接矩阵,利用Pajek软件进行分析,实现网络的可视化。 Based on the situation of the multi-source data, this paper constructs the model of S＆T collaboration network and carries on an case study by combining the theories and methods of weighted network, mathematical statistics and relational network. The paper retrieves the personal research data of multi-source, such as SCI, El and CNKI. After cleaning data, removing the du- plicates and converting the form of the author＇s name, the paper establishes adjacent matrices from different data sources as well as integrated adjacent matrix, and analyzes by Pajek for visualization.

作者吕娜全少颖

机构地区北京理工大学图书馆

出处《情报理论与实践》 CSSCI 北大核心 2016年第9期114-118,共5页 Information Studies:Theory & Application

基金国家社会科学基金项目"科研领域合作关系的识别与关联强度分析"的成果之一项目编号:13CTQ024

关键词科研合作网络加权网络多数据源 S＆T collaboration network weighted network multiple data sources

分类号 O157.5 [理学—基础数学]

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参考文献9

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