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Missing links: Timing characteristics and their implications for capturing contemporaneous technological developments

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  • Kuan, Chung-Huei
  • Huang, Mu-Hsuan
  • Chen, Dar-Zen

Abstract

A missing link in this study refers to a pair of patents whose relatedness is not manifested by one citing the other but implied by their strong bibliographic coupling. By analyzing empirical data, this study discovers that the occurrence of missing links is not coincidental but arises systematically; patent pairs with missing links usually have highly overlapped application processes, whereas those with direct citations more frequently have successive or less overlapped application processes. The missing links thus may capture relatedness between patents that direct citations fail to detect. By applying main path analysis to a network containing 34,083 patents, 155,076 citations, and 9,213 missing links designed to simulate direct citations, this study further finds that the missing links—accounting for only approximately 5% of all connections—identify patents embodying contemporaneous technological developments, which may evade detection if only direct citations are considered.

Suggested Citation

  • Kuan, Chung-Huei & Huang, Mu-Hsuan & Chen, Dar-Zen, 2018. "Missing links: Timing characteristics and their implications for capturing contemporaneous technological developments," Journal of Informetrics, Elsevier, vol. 12(1), pages 259-270.
  • Handle: RePEc:eee:infome:v:12:y:2018:i:1:p:259-270
    DOI: 10.1016/j.joi.2018.01.005
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    as
    1. Loet Leydesdorff & Duncan Kushnir & Ismael Rafols, 2014. "Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1583-1599, March.
    2. Calero-Medina, Clara & Noyons, Ed C.M., 2008. "Combining mapping and citation network analysis for a better understanding of the scientific development: The case of the absorptive capacity field," Journal of Informetrics, Elsevier, vol. 2(4), pages 272-279.
    3. Lu, Louis Y.Y. & Hsieh, Chih-Hung & Liu, John S., 2016. "Development trajectory and research themes of foresight," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 347-356.
    4. Karvonen, Matti & Kässi, Tuomo, 2013. "Patent citations as a tool for analysing the early stages of convergence," Technological Forecasting and Social Change, Elsevier, vol. 80(6), pages 1094-1107.
    5. Manuel Trajtenberg, 1990. "A Penny for Your Quotes: Patent Citations and the Value of Innovations," RAND Journal of Economics, The RAND Corporation, vol. 21(1), pages 172-187, Spring.
    6. Roberto Fontana & Alessandro Nuvolari & Bart Verspagen, 2009. "Mapping technological trajectories as patent citation networks. An application to data communication standards," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 18(4), pages 311-336.
    7. Bronwyn H. Hall & Adam Jaffe & Manuel Trajtenberg, 2005. "Market Value and Patent Citations," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 16-38, Spring.
    8. Yasusada Murata & Ryo Nakajima & Ryosuke Okamoto & Ryuichi Tamura, 2014. "Localized Knowledge Spillovers and Patent Citations: A Distance-Based Approach," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 967-985, December.
    9. G. M.P. Swann, 2009. "The Economics of Innovation," Books, Edward Elgar Publishing, number 13211.
    10. John S. Liu & Louis Y.Y. Lu, 2012. "An integrated approach for main path analysis: Development of the Hirsch index as an example," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(3), pages 528-542, March.
    11. Figueiredo, Octávio & Guimarães, Paulo & Woodward, Douglas, 2015. "Industry localization, distance decay, and knowledge spillovers: Following the patent paper trail," Journal of Urban Economics, Elsevier, vol. 89(C), pages 21-31.
    12. Jarneving, Bo, 2007. "Bibliographic coupling and its application to research-front and other core documents," Journal of Informetrics, Elsevier, vol. 1(4), pages 287-307.
    13. Li, Yao Amber, 2014. "Borders and distance in knowledge spillovers: Dying over time or dying with age?—Evidence from patent citations," European Economic Review, Elsevier, vol. 71(C), pages 152-172.
    14. Chen, Ssu-Han & Huang, Mu-Hsuan & Chen, Dar-Zen & Lin, Siou-Zih, 2012. "Detecting the temporal gaps of technology fronts: A case study of smart grid field," Technological Forecasting and Social Change, Elsevier, vol. 79(9), pages 1705-1719.
    15. M. M. Kessler, 1963. "Bibliographic coupling between scientific papers," American Documentation, Wiley Blackwell, vol. 14(1), pages 10-25, January.
    16. von Wartburg, Iwan & Teichert, Thorsten & Rost, Katja, 2005. "Inventive progress measured by multi-stage patent citation analysis," Research Policy, Elsevier, vol. 34(10), pages 1591-1607, December.
    17. Martinelli, Arianna, 2012. "An emerging paradigm or just another trajectory? Understanding the nature of technological changes using engineering heuristics in the telecommunications switching industry," Research Policy, Elsevier, vol. 41(2), pages 414-429.
    18. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "Data envelopment analysis 1978–2010: A citation-based literature survey," Omega, Elsevier, vol. 41(1), pages 3-15.
    19. John S. Liu & Louis Y.Y. Lu, 2012. "An integrated approach for main path analysis: Development of the Hirsch index as an example," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(3), pages 528-542, March.
    20. Adam B. Jaffe & Michael S. Fogarty & Bruce A. Banks, 1998. "Evidence from Patents and Patent Citations on the Impact of NASA and Other Federal Labs on Commercial Innovation," Journal of Industrial Economics, Wiley Blackwell, vol. 46(2), pages 183-205, June.
    21. Bart Verspagen, 2007. "Mapping Technological Trajectories As Patent Citation Networks: A Study On The History Of Fuel Cell Research," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 10(01), pages 93-115.
    22. Bhupatiraju, Samyukta & Nomaler, Önder & Triulzi, Giorgio & Verspagen, Bart, 2012. "Knowledge flows – Analyzing the core literature of innovation, entrepreneurship and science and technology studies," Research Policy, Elsevier, vol. 41(7), pages 1205-1218.
    23. Nakamura, Hiroko & Suzuki, Shinji & Sakata, Ichiro & Kajikawa, Yuya, 2015. "Knowledge combination modeling: The measurement of knowledge similarity between different technological domains," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 187-201.
    24. Hsi-Yin Yeh & Yi-Shan Sung & Hsiao-Wen Yang & Wan-Chu Tsai & Dar-Zen Chen, 2013. "The bibliographic coupling approach to filter the cited and uncited patent citations: a case of electric vehicle technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 75-93, January.
    25. Inchae Park & Yujin Jeong & Byungun Yoon, 2017. "Analyzing the value of technology based on the differences of patent citations between applicants and examiners," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 665-691, May.
    26. Chen, Dar-Zen & Huang, Mu-Hsuan & Hsieh, Hui-Chen & Lin, Chang-Pin, 2011. "Identifying missing relevant patent citation links by using bibliographic coupling in LED illuminating technology," Journal of Informetrics, Elsevier, vol. 5(3), pages 400-412.
    27. Osmo Kuusi & Martin Meyer, 2007. "Anticipating technological breakthroughs: Using bibliographic coupling to explore the nanotubes paradigm," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(3), pages 759-777, March.
    28. Mina, A. & Ramlogan, R. & Tampubolon, G. & Metcalfe, J.S., 2007. "Mapping evolutionary trajectories: Applications to the growth and transformation of medical knowledge," Research Policy, Elsevier, vol. 36(5), pages 789-806, June.
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    Cited by:

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    2. Hu, Xiaojun & Rousseau, Ronald, 2018. "A new approach to explore the knowledge transition path in the evolution of science & technology: From the biology of restriction enzymes to their application in biotechnology," Journal of Informetrics, Elsevier, vol. 12(3), pages 842-857.

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