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基于图数据库Neo4J的合著网络研究与实践
引用本文:路莹,罗荣庆,王青春,牛晓芳,穆晓倩,祝茜.基于图数据库Neo4J的合著网络研究与实践[J].中华医学图书情报杂志,2016,25(4).
作者姓名:路莹  罗荣庆  王青春  牛晓芳  穆晓倩  祝茜
作者单位:解放军医学图书馆,解放军医学图书馆,解放军医学图书馆,解放军医学图书馆,解放军医学图书馆,解放军医学图书馆
摘    要:科研合作对促进知识交流与科研创新具有重要意义。研究合著网络可以一定程度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,本文着重介绍了图形数据库,并实现了基于图数据库Neo4J的合著网络展示与分析。

关 键 词:科研合作网络  图形数据库  合著网络  Neo4J

Research and Practice of Coauthorship Network Based on Graph Database Neo4J
luying,luorongqing,wang qing chun,niu xiao fang,muxiaoqian and zhuqian.Research and Practice of Coauthorship Network Based on Graph Database Neo4J[J].Chinese Journal of Medical Library and Information Science,2016,25(4).
Authors:luying  luorongqing  wang qing chun  niu xiao fang  muxiaoqian and zhuqian
Institution:Medical Library of Chinese PLA, Beijing 100039, China,Medical Library of Chinese PLA, Beijing 100039, China,medical library of PLA,medical library of PLA,Medical Library of Chinese PLA, Beijing 100039, China,Medical Library of Chinese PLA, Beijing 100039, China
Abstract:Scientific research collaboration has a critical significant meaning for promoting knowledge communication and research innovation. Research of Coauthorship network can understand and reveal the research collaboration relationship network in a certain degree. Due to the reason of the relationship database has limit in dealing with Coauthorship network data, this article will emphasized introduce the graphics database, and show the demonstration and analysis of the Coauthorship network based on graphics database Neo4J.
Keywords:Scientific research collaboration  Graph database  Coauthorship network  Neo4J
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