动态主题网络视角下的突破性创新主题识别： 以区块链领域为例

[Purpose/Significance]Radical innovation plays a key role in the development of science and technology. In the big data environment, the complex, multidimensional, and continuous evolutionary characteristics of science and technology development itself is becoming more observable than ever before. It is important to identify these topics from a dynamic perspective to provide solutions for countries, enterprises and universities to analyze radical innovation areas, allocate innovation resources rationally and seek innovation upgrades.[Method/Process] This paper integrated methods of topic modeling, word embedding algorithm, and complex network analysis to construct dynamic topic networks, and evaluate the structural characteristics of the topics within different time windows and the topic evolution states between these time windows. Based on dynamic topic networks, this paper then combined the novelty, mutation, impact and interdisciplinary characteristics of radical innovation to identify topics of radical innovation.[Result/Conclusion] Through the empirical study on blockchain, this paper recognizes that two topics with the most significant radical innovative characteristics are Neural Network and Edge Computing. With existing research of blockchain and the list of critical and emerging technologies issued by the National Science and Technology Council (NSTC) of the United States, this paper finally verifies the feasibility and effectiveness of the proposed method. However, further quantitative verification of the result of this paper, and identification of radical innovative topics by fusing multi-source data, require further research in the future.