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论文类型：会议论文

发表时间：2016-01-01

收录刊物：SCIE、CPCI-SSH

页面范围：1395-1404

摘要：Technology transfer of universities and research commercialization have been paid extensive close attention by Chinese government in recent years and a series of policies have been launched to facilitate these activities. In this study, a novel approach is proposed to explore the patent diffusion from universities to market in order to study the technology transfer modes. We combine text mining, network analysis and especially data visualization as an integrated tool to analyse patent assignment. The patent data used in this paper are all from SIPO (State Intellectual Property Office) Database and these patents belong to 985-project universities in China. The total number of the invention patents in our research is 105770 and the number of patents that include patent assignment is 3177. Our method firstly extracts both sides that participate in a patent transaction from the unstructured patent data. Then a transfer path for each patent is generated based on the date when patent assignee changes. With that, we build a patent-diffusion network from different paths and visualize it with some special methods. Finally, this study summarizes seven technology transfer modes among Chinese universities semi-automatically according to the nature of the entities, paths of high frequency and nodes of high score. Universities in China mainly concentrate on Mode 1, Mode 2 and Mode 3.