基于主题关联分析的科技互动模式识别方法研究

Research on Scientific and Technological Interaction Patterns Based on Topic Relevance Analysis

从微观层面深度剖析科技互动的内在机理,定量化、自动化、可视化识别科技互动模式,对于弥补当前科学与技术内在关系研究的不足,揭示科技与技术协同创新的发展规律与演化特征具有一定的意义。首先,通过构建多元关系融合的主题词共现矩阵,基于社区探测算法识别论文和专利中的研究主题;然后综合共词、作者与引用关联度构建科学与技术主题关联数据,利用主题演化可视化方法绘制科学与技术主题演化可视化图谱辅助科技互动模式分析。以基因工程疫苗领域的论文和专利数据进行了实证研究,研究结果发现,基因工程疫苗领域的科技互动模式主要有S模式、T模式、S-T模式和T-S模式,其中S模式、T模式随着时间的推移协同增长(呈现明显的协同关联特征),T-S模式、S-T模式随着时间的推移交叉增长(呈现一定的反馈特征,科学与技术双螺旋式推进发展)。

Analyzing the internal mechanism of science and technology interaction at the micro level and revealing the modes of science and technology interaction quantitatively,automatically,and visually are of great significance to remedying the deficiency in current research on the internal relationship between science and technology and to revealing the development law and evolution characteristics of the collaborative innovation between science and technology.First,by constructing a co-occurrence matrix of multi-relationship fusion,research topics in papers and patents are identified on the basis of a community detection algorithm.Then,the structured data on science and technology topic association are constructed by synthesizing co-words,authors,and citation association degrees.Finally,the visualization map of science and technology topic evolution is drawn using the visualization method of topic evolution to assist in the analysis of science and technology interaction patterns.Empirical research was carried out with papers and patent data in the field of genetic engineering vaccines.The results showed that the main scientific and technological interaction modes in the field of genetic engineering vaccine were the S pattern,the T pattern,the S-T pattern,and the T-S pattern.Among them,the S pattern and the T pattern increased synergistically with the passage of time;the T-S pattern and the S-T pattern increased cross-wise with the passage of time.