数字图书馆论坛Issue(1)：41-48,8.DOI:10.3772/j.issn.1673-2286.2016.1.006
基于专利共被引方法的研究前沿识别--以脑机接口领域为例
Recognition of Research Fronts Based on Patent Co-Citation Analysis in the field of Brain-Computer Interface
摘要
Abstract
Patent Co-Citation method issued to identify research front (RF) in a field in this paper. Based on two similarity algorithms-observed value and cosine distance, two kinds of patent similarity matrixes are then established, social network analysis is applied to get RF clusters which are then named, and we final y get the research fronts. Brain-computer interface (BCI) is selected to perform empirical analysis in terms of the above method, and results from two similarity algorithms are also compared. This study finds that RF can be got by Co-Citation method, while cosine distance algorithm can reveal more and detailed research fronts than observed value algorithm.关键词
研究前沿/专利/共被引分析/脑机接口/相似度算法Key words
Research Front/Patent/Co-Citation Analysis/Brian Computer Interface/Similarity Algorithm分类
社会科学引用本文复制引用
高楠,傅俊英,赵蕴华..基于专利共被引方法的研究前沿识别--以脑机接口领域为例[J].数字图书馆论坛,2016,(1):41-48,8.基金项目
本研究得到中央级公益性科研院所基本科研业务费专项基金“未来学”（编号XK2015-2）资助。 （）
