摘要
以太阳能汽车技术领域为例,从德温特数据库中下载专利文献的专利权人与分类号信息作为样本,构建2-模异质多重共现网络,将两类特征项及其3种共现关系在同一图谱中进行集中展示,从中寻找该技术领域的主要研发力量和热门技术主题,并对二者之间的交叉关联进行量化分析。证实了多重共现分析能够克服一重共现分析揭示维度单一的不足,尤其适合于潜在关系的发掘。研究发现,在太阳能汽车领域日本的技术优势非常明显,日本企业继续保持全球领先水平。中国的整体技术实力居于世界前列,但中国企业个体的技术力量却相对单薄,在市场竞争中将处于劣势地位。
Taking the Derwent potent literatures in the technical field of solar vehicles as the sample, a 2-mode heteroge- neous multiple co - occurrence network has been constructed based on the co - occun^nce relations of patent assignees and classifica- tion codes, with two terms and three kinds of co - occurrence relations centralized displaying in the same visualization map, Powerful research finns and hot technical themes have been identified through the quantitative analysis, as well as the practical and potential collaboration relations have been detected and compared. It confirmed that the method of multiple co- occurrence analysis offering more findings with multiple dimensions that can overcome the shortcomings of single dimension co - occurrence analysis. It is espe- cially suitable for exploring potential relations. The results revealed that Japan possessing obvious advantage in the field of solar vehi- cles, with Japanese companies maintaining world leading level. China's overall technical strength living in the forefront of the world, but the individual strength of Chinese enterprise is relatively weak, resulted in the disadvantage of market competition.
作者
温芳芳
Wen Fangfang(College of Management, Henan University of Science and Technology, Luoyang 471023, China)
出处
《现代情报》
CSSCI
北大核心
2017年第4期165-169,共5页
Journal of Modern Information
基金
国家社会科学基金青年项目"面向专利数据的多重共现分析方法及其在技术创新网络中的应用研究"(项目编号:14CTQ018)
河南省哲学高校科技创新人才支持计划(人文社科类)"大数据时代专利多重共现网络的构建及可视化研究"(项目编号:2017-cxrc-001)
关键词
多重共现分析
共现分析
专利计量
社会网络分析
太阳能汽车
multiple co - occurrence
co- occurrence analysis
potent bibliometrics
social network analysis
solar vehicles