基于图形数据库Neo4J的合著网络研究与实践  被引量:3

Graphic database Neo4J-based research and practice of co-authorship network

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作  者:路莹[1] 罗荣庆[1] 王青春[1] 牛晓芳[1] 穆晓倩[1] 祝茜[1] 

机构地区:[1]解放军医学图书馆,北京100039

出  处:《中华医学图书情报杂志》2016年第4期13-16,共4页Chinese Journal of Medical Library and Information Science

摘  要:研究合著网络可以一定程度地了解和揭示科研合作关系网络。鉴于关系数据库处理合著网络数据存在较大的局限性,着重介绍了图形数据库和Neo4J,并以笔者参与构建的军事医学科学院机构知识库系统为例,分析了基于图形数据库Neo4J的合著网络研究与实现,总结了基于Neo4J的合著网络分析的优势。Research of co-authorship network can reveal the scientific research collaboration network and can thus help us to have an understanding of it. Graphic database and Neo4J were described in detail due to the limitations of relationship database in processing the data of co-authorship network. Graphic database Neo4J-based research and practice of co-authorship network were analyzed with the Institutional Knowledge System of AMMS that we were involved in its construction as an example, and the advantages of Neo4J-based co-authorship network were summarized.

关 键 词:科研合作网络 图形数据库 合著网络 Neo4J 

分 类 号:TP311.13[自动化与计算机技术—计算机软件与理论] R-058[自动化与计算机技术—计算机科学与技术]

 

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