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Do patent citations indicate knowledge linkage? The evidence from text similarities between patents and their citations

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  • Chen, Lixin

Abstract

Whether patent citations indicate knowledge linkage is still a controversial issue, which is very important for the widespread use of the patent citation analysis method. We hypothesize that there exists technological knowledge linkage between patents and their citations, and that the linkage can be detected through measuring text similarities between them. To test the hypothesis, we selected citing-cited patent pairs as the observation group and selected patent pairs without citing-cited relationship as the control group. Using the VSM with WF-IDF weighting method, we calculated text similarity values of the two groups. Through comparing text similarity values between the two groups, we validate that in the vast majority of cases text similarity values of citing-cited pairs are much higher than those of non-citing-cited pairs. The study in nano-technology field shows that the above results are the same, although patents in the same technological area are more relevant than in different technological areas. Furthermore, by comparing text similarities between applicant and examiner citing-cited pairs, the results show that in more cases examiner citations indicate knowledge linkage a bit better than applicant citations. Preferably, examiner citations can be regarded as not only the supplement of applicant citations but also the more important technological background and the prior art closely related to the patents. Compared to applicant citations, examiner citations are a good indicator of knowledge linkage rather than an incomplete and noisy indicator. In short, the results suggest that most certainly patent citations can indicate knowledge linkage, and more likely examiner citations can indicate knowledge linkage a bit better than applicant citations, especially for the component of patent claims. Therefore, we accept the hypothesis that patent citations can indicate knowledge linkage, which is the basic assumption of the patent citation analysis method.

Suggested Citation

  • Chen, Lixin, 2017. "Do patent citations indicate knowledge linkage? The evidence from text similarities between patents and their citations," Journal of Informetrics, Elsevier, vol. 11(1), pages 63-79.
  • Handle: RePEc:eee:infome:v:11:y:2017:i:1:p:63-79
    DOI: 10.1016/j.joi.2016.04.018
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    as
    1. Hegde, Deepak & Sampat, Bhaven, 2009. "Examiner citations, applicant citations, and the private value of patents," Economics Letters, Elsevier, vol. 105(3), pages 287-289, December.
    2. Juan Alcácer & Michelle Gittelman, 2006. "Patent Citations as a Measure of Knowledge Flows: The Influence of Examiner Citations," The Review of Economics and Statistics, MIT Press, vol. 88(4), pages 774-779, November.
    3. Criscuolo, Paola & Verspagen, Bart, 2008. "Does it matter where patent citations come from? Inventor vs. examiner citations in European patents," Research Policy, Elsevier, vol. 37(10), pages 1892-1908, December.
    4. Ryan Lampe, 2012. "Strategic Citation," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 320-333, February.
    5. Epicoco, Marianna, 2013. "Knowledge patterns and sources of leadership: Mapping the semiconductor miniaturization trajectory," Research Policy, Elsevier, vol. 42(1), pages 180-195.
    6. Hu, Albert G. Z. & Jaffe, Adam B., 2003. "Patent citations and international knowledge flow: the cases of Korea and Taiwan," International Journal of Industrial Organization, Elsevier, vol. 21(6), pages 849-880, June.
    7. Narin, Francis & Olivastro, Dominic, 1992. "Status report: Linkage between technology and science," Research Policy, Elsevier, vol. 21(3), pages 237-249, June.
    8. Rui Li & Tamy Chambers & Ying Ding & Guo Zhang & Liansheng Meng, 2014. "Patent citation analysis: Calculating science linkage based on citing motivation," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(5), pages 1007-1017, May.
    9. Alcácer, Juan & Gittelman, Michelle & Sampat, Bhaven, 2009. "Applicant and examiner citations in U.S. patents: An overview and analysis," Research Policy, Elsevier, vol. 38(2), pages 415-427, March.
    10. Albert, M. B. & Avery, D. & Narin, F. & McAllister, P., 1991. "Direct validation of citation counts as indicators of industrially important patents," Research Policy, Elsevier, vol. 20(3), pages 251-259, June.
    11. 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.
    12. Guo Zhang & Ying Ding & Staša Milojević, 2013. "Citation content analysis (CCA): A framework for syntactic and semantic analysis of citation content," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(7), pages 1490-1503, July.
    13. Ying Ding & Guo Zhang & Tamy Chambers & Min Song & Xiaolong Wang & Chengxiang Zhai, 2014. "Content-based citation analysis: The next generation of citation analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(9), pages 1820-1833, September.
    14. 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.
    15. Yuxian Liu & Ronald Rousseau, 2010. "Knowledge diffusion through publications and citations: A case study using ESI-fields as unit of diffusion," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(2), pages 340-351, February.
    16. Francis Narin & Kimberly S Hamilton & Dominic Olivastro, 1995. "Linkage between agency-supported research and patented industrial technology," Research Evaluation, Oxford University Press, vol. 5(3), pages 183-187, December.
    17. Narin, Francis & Hamilton, Kimberly S. & Olivastro, Dominic, 1997. "The increasing linkage between U.S. technology and public science," Research Policy, Elsevier, vol. 26(3), pages 317-330, October.
    18. Carpenter, Mark P. & Narin, Francis, 1983. "Validation study: Patent citations as indicators of science and foreign dependence," World Patent Information, Elsevier, vol. 5(3), pages 180-185.
    19. Bhaven N. Sampat, 2010. "When Do Applicants Search for Prior Art?," Journal of Law and Economics, University of Chicago Press, vol. 53(2), pages 399-416, May.
    20. Edward Cureton, 1956. "Rank-biserial correlation," Psychometrika, Springer;The Psychometric Society, vol. 21(3), pages 287-290, September.
    21. András Vargha & Harold D. Delaney, 2000. "A Critique and Improvement of the CL Common Language Effect Size Statistics of McGraw and Wong," Journal of Educational and Behavioral Statistics, , vol. 25(2), pages 101-132, June.
    22. Fattori, Michele & Pedrazzi, Giorgio & Turra, Roberta, 2003. "Text mining applied to patent mapping: a practical business case," World Patent Information, Elsevier, vol. 25(4), pages 335-342, December.
    23. Nelson, Andrew J., 2009. "Measuring knowledge spillovers: What patents, licenses and publications reveal about innovation diffusion," Research Policy, Elsevier, vol. 38(6), pages 994-1005, July.
    24. Engelsman, E. C. & van Raan, A. F. J., 1994. "A patent-based cartography of technology," Research Policy, Elsevier, vol. 23(1), pages 1-26, January.
    25. Cotropia, Christopher A. & Lemley, Mark A. & Sampat, Bhaven, 2013. "Do applicant patent citations matter?," Research Policy, Elsevier, vol. 42(4), pages 844-854.
    26. 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.
    27. Calvin Weng & Tugrul Daim, 2012. "Structural Differentiation and Its Implications—Core/Periphery Structure of the Technological Network," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 3(4), pages 327-342, December.
    28. Manuel Trajtenberg & Adam B. Jaffe & Michael S. Fogarty, 2000. "Knowledge Spillovers and Patent Citations: Evidence from a Survey of Inventors," American Economic Review, American Economic Association, vol. 90(2), pages 215-218, May.
    29. Ahlgren, Per & Colliander, Cristian, 2009. "Document–document similarity approaches and science mapping: Experimental comparison of five approaches," Journal of Informetrics, Elsevier, vol. 3(1), pages 49-63.
    30. Jean O. Lanjouw & Mark Schankerman, 2004. "Patent Quality and Research Productivity: Measuring Innovation with Multiple Indicators," Economic Journal, Royal Economic Society, vol. 114(495), pages 441-465, April.
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