统计研究

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中国科技创新合作网络研究

吴翌琳 吴洁琼   

  • 出版日期:2017-05-15 发布日期:2017-05-16

Research on China's scientific and technological innovation cooperation network

Wu Yilin & Wu Jieqiong   

  • Online:2017-05-15 Published:2017-05-16

摘要: 本文利用网络爬虫技术对万方知识平台的科技论文大数据进行抓取,基于社会网络方法构建了作者合作网络、科研机构合作网络和地区合作网络,对网络的基本属性、关键节点进行了个性化分析。研究发现:中国科技创新论文稳步上升并呈现空间集聚性,“农业”、“大学生”等关键词成为研究热点,产学研合作不断加深,但从区域看,由东向西区域协同创新能力逐渐减弱,核心作者间的信息分享与协同创新较少,处于同一地区、具有相同经营范围或研究方向的机构单位之间更容易展开合作。

关键词: 科技创新, 网络爬虫, 文本挖掘, 合作网络

Abstract: It uses the web crawler technology to grab the big data of the science and technology paper and establish the cooperation network of the author, the scientific research institution and the regional cooperation network based on the social network method. It does some analysis on the basic attributes of the network and the key nodes and find out that: the scientific and technological innovation papers are steadily rising and showing the spatial clustering tendency. "Agriculture" and "college students" and other key words become a hot research topic, showing continuous deepening of research cooperation. But from the regional level, the regional collaborative innovation ability gradually weakened from east to west. Information sharing and collaborative innovation among core authors are lesser. Institutions in the same area, with the same business scope or the research topic are more likely to cooperate.

Key words: Technology Innovation, Web Crawler, Text mining, Cooperation Network.