, Volume 105, Issue 3, pp 1319–1346 | Cite as

Using the comprehensive patent citation network (CPC) to evaluate patent value

  • Guan-Can Yang
  • Gang Li
  • Chun-Ya Li
  • Yun-Hua Zhao
  • Jing Zhang
  • Tong Liu
  • Dar-Zen Chen
  • Mu-Hsuan Huang


Most approaches to patent citation network analysis are based on single-patent direct citation relation, which is an incomplete understanding of the nature of knowledge flow between patent pairs, which are incapable of objectively evaluating patent value. In this paper, four types of patent citation networks (direct citation, indirect citation, coupling and co-citation networks) are combined, filtered and recomposed based on relational algebra. Then, a method based on comprehensive patent citation (CPC) network for patent value evaluation is proposed, and empirical study of optical disk technology related patents has been conducted based on this method. The empirical study was carried out in two steps: observation of network characteristics over the entire process (citation time lag and topological and graphics characteristics), and measurement verification by independent proxies of patent value (patent family and patent duration). Our results show that the CPC network retains the advantages of patent direct citation, and performs better on topological structure, graphics features, centrality distribution, citation lag and sensitivity than a direct citation network; The verified results by the patent family and maintenance show that the proposed method covers more valuable patents than the traditional method.


Comprehensive patent citation (CPC) Multiple relationships Patent value evaluation Relational algebra algorithm 



We are indebted to Mao Jin for helpful discussions and several constructive proposals. This research is supported by National Natural Science Foundations of China (NSFC Grant Nos. 71273196; 71403256 and 71303023), and this research was also supported by National Key Technology R&D Program of China (Grant No. 2013BAH21B00).


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Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2015

Authors and Affiliations

  • Guan-Can Yang
    • 1
  • Gang Li
    • 2
  • Chun-Ya Li
    • 2
  • Yun-Hua Zhao
    • 1
  • Jing Zhang
    • 1
  • Tong Liu
    • 3
  • Dar-Zen Chen
    • 4
  • Mu-Hsuan Huang
    • 5
  1. 1.Institute of Science and Technical Information of ChinaBeijingPeople’s Republic of China
  2. 2.School of Information ManagementWuhan UniversityHubeiPeople’s Republic of China
  3. 3.Beijing Computing CenterBeijingPeople’s Republic of China
  4. 4.Department of Mechanical Engineering and Institute of Industrial EngineeringNational Taiwan UniversityTaipeiTaiwan, ROC
  5. 5.Department of Library and Information ScienceNational Taiwan UniversityTaipeiTaiwan, ROC

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