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数据分析与知识发现  2020, Vol. 4 Issue (1): 26-39    DOI: 10.11925/infotech.2096-3467.2019.1201
  综述评介 本期目录 | 过刊浏览 | 高级检索 |
国内外专利网络研究进展*
关鹏1(),王曰芬2
1巢湖学院经济与法学学院 合肥 238000
2南京理工大学经济管理学院 南京 210094
Advances in Patent Network
Peng Guan1(),Yuefen Wang2
1School of Economics and Law, Chaohu University, Hefei 238000, China
2School of Economics and Management, Nanjing University of Science & Technology, Nanjing 210094, China;
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摘要 

【目的】 分析国内外专利网络研究进展,梳理研究现状、发现研究问题和研判研究趋势。【文献范围】 分别以“Patent Network”和“专利网络”为主题在Web of Science核心集和CNKI核心期刊库中检索,通过去重、去除不相关文献后,共检索到英文论文465篇,中文论文196篇,分析其中代表性论文106篇。【方法】 首先,利用团渗透重叠社区发现算法对“专利网络”关键词共现网络进行主题挖掘,分析中英文热点研究主题;其次,对热点研究主题下的高被引论文进行述评。【结果】 综合现有研究,专利网络构建方法主要有合作关系、引用关系、技术转移关系、技术相似关系等,主流研究方法有社会网络分析、复杂网络和文本挖掘等。【局限】 仅对热点研究领域的高被引代表性论文进行分析,未能覆盖全部研究主题和文献。【结论】 专利网络研究尚未形成系统性的理论和方法体系,新兴研究方法的应用仍处于探索阶段。专利网络分析需向中观层面深入,网络演化机制、模型和仿真实验研究还需进一步加强。专利网络语义化分析倾向越来越明显;基于多种关系的综合性专利网络构建和分析,获得越来越多的关注,未来有可能成为新兴研究方向。

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关鹏
王曰芬
关键词 专利网络社会网络分析复杂网络文本挖掘    
Abstract

[Objective] The paper systematically reviews current studies on patent networks, and then summaries research questions and developing trends.[Coverage] We used “Patent Network” as search terms for the Web of Science and CNKI core journal databases, respectively. A total of 465 English papers and 196 Chinese papers were retrieved by removing the duplicated and irrelevant ones. Our final list included 106 representative articles on topic labeling.[Methods] Firstly, we used the community discovery algorithm to explore topics of the keyword co-occurrence network. Then, we extracted research topics of these Chinese and English papers to identify research trends. Finally,we reviewed papers with the highest numbers of citations from each trending topics.[Results] The construction methods of patent networks include cooperation, reference, technology transfer and technology similarity, etc. The popular research methods include social network analysis, complex network and text mining, etc.[Limitations] We only studied the representative literature, more research is needed to expand our analysis to all research topics.[Conclusions] The patent network analysis is emerging. Research on the evolution mechanism, model and simulation experiment of patent networks needs to be strengthened. More and more researchers focus on semantic analysis tendency of patent network, as well as the construction of patent comprehensive network.

Key wordsPatent Network    Social Network Analysis    Complex Netowrk    Text Mining
收稿日期: 2019-11-04     
中图分类号:  TP391  
基金资助:*本文系安徽省高校优秀青年人才支持计划重点项目“基于复杂网络理论的科学合作网络演化建模与仿真研究”(gxyqZD2019066);安徽省高校人文社会科学重点项目“基于专利文本挖掘的区域创新合作网络构建及演化分析——以长三角城市群为例”的研究成果之一(SK2019A0550)
通讯作者: 关鹏     E-mail: guanpeng1983@163.com
引用本文:   
关鹏,王曰芬. 国内外专利网络研究进展*[J]. 数据分析与知识发现, 2020, 4(1): 26-39.
Peng Guan,Yuefen Wang. Advances in Patent Network. Data Analysis and Knowledge Discovery, DOI:10.11925/infotech.2096-3467.2019.1201.
链接本文:  
http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.2096-3467.2019.1201
图1  “专利网络”中文文献共词网络(共现次数≥2)
图2  “专利网络”英文文献共词网络(共现次数≥3)
研究主题 关键词
专利合作网络 专利, 结构洞, 专利合作网络, 知识网络, 社会网络分析
专利引文网络 专利, 引文网络, 专利权人, 社会网络分析, 共被引网络
产学研专利合作网络 产学研, 专利分析, 知识网络, 网络结构, 专利合作网络, 社会网络分析
技术转移网络 技术转让, 专利分析, 技术转移, 社会网络分析, 校企合作, 协同创新
专利分析方法 专利分析, 专利技术, 专利情报, 社会网络分析, 可视化
专利网络演化分析 OLED, 技术创新, 专利权人, 网络演化, 专利信息
技术演化路径分析 专利, 技术路径, 创新网络, 演化路径, 专利合作网络, 时空演化
表1  团渗透算法抽取“专利网络”中文文献研究主题及关键词
研究主题 关键词
patent analysis method property, natural language processing, patent analysis, technology analysis, function, patent map, patent network, patent mining, social network analysis, technology intelligence
patent cooperation network in China chinese firms, collaboration, pattern, configuration, innovation capability, co-patenting,
partner portfolio, evolution
evolutionary analysis of patent cooperation network co-invention, proximity, co-patenting, biotechnology, knowledge exchange, networks
patent text mining topic model, text mining, network analysis, innovation, biofuel, patent data
social network analysis technological innovation, patent clustering, innovation, social network analysis, social networks, patents
patent citation network kernel-based method, graph kernel, nanotechnology, patent classification, citation network,
machine learning
表2  团渗透算法抽取“专利网络”英文文献研究主题及关键词
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