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本研究采用文本挖掘技术,从在全球公开的纳米科学和技术研究文献数据库(SCI/SSCI数据库)中提取技术情报。在SCI/SSCI数据库中利用纳米科学和技术领域的300多个术语进行相关文献的检索;利用摘要共现词汇的自相关图来揭示的技术核心领域;通过词汇间的互相关图来揭示因共现而发生关系的词汇的技术核心领域;采用因子矩阵进一步量化研究机构之间、国家之间的关系强度,并对图中揭示的合作出版网络给予确证。
In this study, text mining techniques were used to extract technical intelligence from the publicly available nanoscience and technology research literature database (SCI / SSCI database). Use of more than 300 terms in the field of nanoscience and technology to search for relevant documents in the SCI / SSCI database; use the autocorrelation diagram of summary co-occurrence vocabulary to reveal the core areas of technology; The core of the vocabulary of the current relationship; the use of factor matrix to further quantify the strength of the relationship between research institutions, countries, and to confirm the cooperative publishing network revealed in the figure.