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New Technology of Library and Information Service  2015, Vol. 31 Issue (1): 17-23    DOI: 10.11925/infotech.1003-3513.2015.01.03
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Research on the Themes Dynamic Evolutions of the Patent Analysis Papers from WoS Database
Zhang Yun1,2, Hua Weina2, Yuan Shunbo1, Su Baoduo3
1. School of Business, Jiaxing University, Jiaxing 314001, China;
2. School of Information Management, Nanjing University, Nanjing 210093, China;
3. Nanhu College, Jiaxing University, Jiaxing 314001, China
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[Objective] SciMAT is used to determine the themes dynamic evolutions in the specific area. [Methods] The records on patent analysis from WoS databases are analyzed and the visual maps based on SciMAT are drawn and analyzed to explore the evolutions of patent analysis. [Results] The most important topics in patent analysis from WoS databases mainly include knowledge management, patent analysis technologies and how to promote the development of enterprises and industries by patents. The new hot topics include intellectual property, knowledge transfer and how to judge the evolution trends. [Conclusions] SciMAT can be used to effectively reveal the themes evolutions from different views by combining indicators reflecting quality characteristics and a varity of maps.

Key wordsPatent analysis      Bibliometrics      Theme evolution      Visualization analysis      h-index      SciMAT     
Received: 28 July 2014      Published: 12 February 2015
:  G353  

Cite this article:

Zhang Yun, Hua Weina, Yuan Shunbo, Su Baoduo. Research on the Themes Dynamic Evolutions of the Patent Analysis Papers from WoS Database. New Technology of Library and Information Service, 2015, 31(1): 17-23.

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[1] Cobo M J, López-Herrera A G, Herrera-Viedma E, et al. An Approach for Detecting, Quantifying, and Visualizing the Evolution of a Research Field: A Practical Application to the Fuzzy Sets Theory Field [J]. Journal of Informetrics, 2011, 5(1): 146-166.
[2] 张璇, 苏楠, 杨红岗, 等. 2000-2011年国际电子政务的知识图谱研究——基于CiteSpace和VOSviewer的计量分析[J]. 情报杂志, 2012, 31(12): 51-57. (Zhang Xuan, Su Nan, Yang Honggang, et al. Knowledge Mapping of Research on International E-government During 2000-2011 Based on CiteSpace and VOSviewer [J]. Journal of Intelligence, 2012, 31(12): 51-57.)
[3] 崔鹏, 孙宝文, 王天梅, 等. 基于共词分析的网络虚拟社会领域热点及演进态势研究[J]. 情报杂志, 2013, 32(2): 40-44, 56. (Cui Peng, Sun Baowen, Wang Tianmei, et al. Study on Network Virtual Society Area Hotspots and Evolution Based on Co-word Analysis [J]. Journal of Intelligence, 2013, 32(2): 40-44, 56.)
[4] 侯月明, 乔晓东, 孙卫, 等. 开源分析工具在中文文献分析中的应用[J]. 现代图书情报技术, 2013(3): 71-76. (Hou Yueming, Qiao Xiaodong, Sun Wei, et al. Application of Open Source Analysis Tools in Chinese Literature Analysis [J]. New Technology of Library and Information Service, 2013(3): 71-76.)
[5] Cobo M J. SciMAT - Science Mapping Analysis Tool [EB/OL]. [2014-03-22]. /scimat/.
[6] Cobo M J, López-Herrera A G, Herrera-Viedma E, et al. SciMAT: A New Science Mapping Analysis Software Tool [J]. Journal of the American Society for Information Science and Technology, 2012, 63(8): 1609-1630.
[7] SciMAT. SciMAT Version 1.0 User Guide [EB/OL]. [2014-03-22].
[8] López-Herrera A G, Cobo M J, Herrera-Viedma E, et al. A Bibliometric Study about the Research Based on Hybridating the Fuzzy Logic Field and the Other Computational Intelligent Techniques: A Visual Approach [J]. International Journal of Hybrid Intelligent Systems, 2010, 7(1): 17-32.

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