摘要
[目的/意义]提出一种微观层面动态识别特定领域各研究主题中科学技术互动模式并预测科学、技术的发展方向的方法,为科研人员的研究课题的确定与政府部门政策制定提供参考。[方法/过程]首先,构建改进型作者-发明人网络,并基于此网络演化形成技术主题关联网络和科学主题关联网络,识别前沿科学主题与前沿技术主题,然后,以改进型作者-发明人网络的映射关系为基础绘制科学-技术映射路线图,识别各研究主题的科学技术的动态互动模式,最后通过各主题下的互动模式预测科学、技术的发展方向。[结果/结论]将所设计的方法应用于中药领域,识别中药领域中前沿研究主题下的科技互动模式,预测科技发展方向,与领域内的实际情况相契合,充分证明该识别与预测方法的有效性。
[Purpose/Significance]This paper proposes a method for dynamically identifying the science-technology interaction mode of various research topics in specific fields at the micro level and predicting the development direction of science and technology, and provides reference for the research topic decision-making of scientific researchers and the formulation of government departments’ policies.[Method/Process]Firstly, the improved author-inventor network is constructed, and based on its evolution, the technology topic association network and the science topic association network are formed, and the frontier science theme and the frontier technology theme are identified. Then, using the mapping relationship between the improved author-inventor network as the basis, the science-technical mapping roadmap is drawn, the dynamic science-technology interaction patterns in each research topic are identified. Finally, the study predicts the development direction of science and technology via the interaction mode under each theme.[Result/Conclusion]By applying the designed method to the field of traditional Chinese medicine, the science-technology interaction model under the theme of frontier research in the field of traditional Chinese medicine is identified, the prediction of the direction of science and technology development matches with the actual situation in the field, thus fully proves the effectiveness of the identification and prediction method.
作者
陈瑞真
丁文晴
金金
袁红梅
Chen Ruizhen;Ding Wenqing;Jin Jin;Yuan Hongmei(School of Business Administration,Shenyang Pharmaceutical University,Shenyang 110016)
出处
《情报杂志》
CSSCI
北大核心
2019年第6期38-44,79,共8页
Journal of Intelligence
基金
2018年度辽宁省社科规划基金项目“基于技术创新的辽宁中药制造业走出去专利法律问题研究”(编号:L18BFX011)研究成果之一
关键词
科技互动模式
科学文献
专利文献
科技发展方向预测
中药
作者-发明人网络
technology interaction mode
scientific literature
patent literature
science and technology development direction prediction
Chinese medicine
author-inventor network
