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| 全球纳米技术研究文献计量分析 | |
| 作者姓名： | Ronald N. Kostoff Raymond G. Koytcheff Clifford G.Y. Lau |
| 作者单位： | Office of Naval Research Arlington，VA 22217，USA.，Office of Naval Research，Arlington，VA 22217，USA.，Institute for Defense Analyses，Alexandria，VA 22311，USA. |
| 摘 要： | 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。 |
| 关 键 词： | 纳米颗粒 纳米管 纳米技术 文本挖掘 文献计量 文献聚类 |
Global Nanotechnology Research Literature |
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| Ronald N. Kostoff,Raymond G. Koytcheff,Clifford G.Y. Lau.Global Nanotechnology Research Literature[J].Science Focus,2007,2(2):1-10. | |
| Authors: | Ronald N Kostoff Raymond G Koytcheff Clifford GY Lau Office of Naval Research Arlington VA USA Institute for Defense Analyses Alexandria VA USA |
| Institution: | 1 Office of Naval Research, Arlington, VA 22217, USA. 2 Institute for Defense Analyses, Alexandria, VA 22311, USA. |
| Abstract: | Text mining was used to extract technical intelligence from the global open nanotechnology and nanoscience research literature. An extensive nanotechnology/nanosciene-focuse query (300 term) was applied to the SCI/SSCI database. A novel addition was the use of phrase auto correlation maps to show technical thrust areas based on phrase co-occurrence in Abstracts, and the use of phrase-phrase cross-correlation maps to show technical thrust areas based on phrase relations due to the sharing of common co-occurring phrases. The use of factor matrices quantified further the strength of the linkages among institutions and among countries, and validated the co-publishing networks shown graphically on the maps. |
| Keywords: | nanoparticle nanotube nanotechnology text mining bibliometrics document clustering |
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