| 网络共词分析与专利机构聚类分析的比较探索 |
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| 引用本文： | 卞志昕.网络共词分析与专利机构聚类分析的比较探索[J].图书情报工作,2014,58(7):83-87. |
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| 作者姓名： | 卞志昕 |
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| 作者单位： | 上海图书馆上海科学技术情报研究所 |
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| 摘 要： | 共链分析是网络计量学中的一种有效分析方法，但其容易受到网络搜索引擎的限制。之前有研究表明，网络博客关键词分析在多个行业领域中可以有效替代共链分析。基于此，继续探索网络博客共词法与专利计量学中申请人合作分析、共引分析方法之间的关系。通过Derwent专利数据库检索燃料电池技术的专利文献，从中分别选择专利数量和引证数量最多的30家公司，分别构建专利申请人合作矩阵和共引矩阵，并以这些公司名为关键词，在Google博客中两两检索，构建相对应的网络共词矩阵。对两组矩阵数据进行多维尺度分析，发现不同技术领域的公司所产生的集群分布有着相似性。最后，总结网络博客共词方法相对于专利计量学合作和共引分析方法中的一些特点，认为该方法也可作为专利计量学研究中不同技术领域公司聚类的替代方法，在实际行业分析中应用。
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| 关 键 词： | 专利申请人合作 共引分析 网络共词 专利计量学 |
| 收稿时间： | 2014-02-10 |
Exploring the Relationship between Web Keyword Analysis and Patent Applicants Clusters Analysis |
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| Bian Zhixin.Exploring the Relationship between Web Keyword Analysis and Patent Applicants Clusters Analysis[J].Library and Information Service,2014,58(7):83-87. |
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| Authors: | Bian Zhixin |
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| Institution: | Shanghai Library & Institute of Scientific and Technical Information of Shanghai, Shanghai 200031 |
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| Abstract: | Co-link analysis is an effective analytical method in webometrics; however it is susceptible to the restrictions of the network search engines. Prior studies have showed that Web keyword analysis could be an effective alternative to co-link analysis in many industrial fields. On this basis, this study continued to explore the relationship between Web co-word analysis, co-assignee analysis, and co-citation analysis in patent bibliometrics. This study searched patent documents about the fuel cell technology in Derwent patent database, selected 30 companies that had the largest number of patents and co-citation, and developed a co-assignee matrix and a co-citation matrix respectively. After that, the selected companies' names were used as keywords for pair-wise search in Google blog sites, so as to build the corresponding co-word matrixes. By means of multidimensional scaling (MDS) analysis and comparison between each set of MDS maps (co-assignee vs. co-word and co-citation vs. co-word), this study found that each set of maps presented similar distribution of company clusters. At last, this study summarized the characteristics of the network co-word analysis method in corresponding to the co-assignee and co-citation analysis methods. The co-word analysis can be used as an alternative to co-assignee and co-citation analyses in the study of company clusters in patent bibliometrics, as well as be implemented in actual industrial analysis. |
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| Keywords: | co-assignee analysis co-citation analysis Web keyword analysis patent bibliometrics |
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