Yilin Wu, Jieqiong Wu

【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.

【Keywords】

technology innovation, web crawler, text mining, cooperation network