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タイトル
和文: 
英文:Unconnected component inclusion technique for patent network analysis: Case study of Internet of Things-related technologies 
著者
和文: 高野 泰朋, Mejia Caballero Cristian Andres, 梶川 裕矢.  
英文: Yasutomo Takano, Cristian Mejia, Yuya Kajikawa.  
言語 English 
掲載誌/書名
和文: 
英文:Journal of Informetrics 
巻, 号, ページ Vol. 10    No. 4   
出版年月 2016年9月13日 
出版者
和文: 
英文:Elsevier 
会議名称
和文: 
英文: 
開催地
和文: 
英文: 
公式リンク https://www.sciencedirect.com/science/article/pii/S1751157716300207
 
DOI https://doi.org/10.1016/j.joi.2016.05.004
アブストラクト In this study, we propose an unconnected component inclusion technique (UCIT) for patent citation analysis. Our method generates a cluster solution that includes unconnected and connected components of a direct citation network, enabling a more complete analysis of the technology fields. Case studies of Internet of Things-related technologies were conducted to test the effectiveness of our proposed method. We observed that UCIT increased the number of nodes especially in relatively small networks. Additionally, we analyzed how the clusters changed by adding unconnected patents to the citation network and identified four types of clustering phenomenon. Our method can be used by patent officers, R&D managers, and policy makers when they want to understand the technology landscape better.

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