Inter-cluster connectivity analysis for technology opportunity discovery

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• 作者：Byunghoon Kim (1)
  Gianluca Gazzola (1)
  Jae-Min Lee (2)
  Dohyun Kim (2)
  Kanghoe Kim (2)
  Myong K. Jeong (1)
  
• 关键词：Technology opportunity ; Technology convergence ; Inter ; cluster connectivity ; Patent citation network ; Keyword ; Core patent
• 刊名：Scientometrics
• 出版年：2014
• 出版时间：March 2014
• 年：2014
• 卷：98
• 期：3
• 页码：1811-1825
• 全文大小：330 KB
• 作者单位：Byunghoon Kim (1)
  Gianluca Gazzola (1)
  Jae-Min Lee (2)
  Dohyun Kim (2)
  Kanghoe Kim (2)
  Myong K. Jeong (1)
  
  1. Rutgers, The State University of New Jersey, New Brunswick, NJ, USA
  2. Korea Institute of Science and Technology Information, 66 Hoegiro, Dongdaemun-gu, Seoul, 130-741, Republic of Korea
  
• ISSN：1588-2861

文摘

In today’s competitive business environment, the timely identification of potential technology opportunities is becoming increasingly important for the strategic management of technology and innovation. Existing studies in the field of technology opportunity discovery (TOD) focus exclusively on patent textual information. In this article, we introduce a new method that tackles TOD via technology convergence, using both patent textual data and patent citation networks. We identify technology groups with high convergence potential by measuring connectivity between clusters of patents. From such technology groups we select pairs of core patents based on their technological relatedness, on their past involvement in convergence, and on the impact of their new potential convergence. We finally carry out TOD by extracting representative keywords from the text of the selected patent pairs and organizing them into the basic description of a new invention, which the potential convergence of the patent pair might produce. We illustrate our proposed method using a data set of U.S. patents in the field of digital information and security.