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Generative Model: Intertexture of Firm and Inventor

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Co-patenting: An Analytic Tool for Cooperative Research and Development

Part of the book series: Evolutionary Economics and Social Complexity Science ((EESCS,volume 21))

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References

  1. Barabási AL, Albert R. Statistical mechanics of complex networks. Rev Mod Phys. 2002;74:47–97.

    Article  MathSciNet  Google Scholar 

  2. Barabási AL, et al. Evolution of the social network of scientific collaborations. Phys A. 2002;311:590–614.

    Article  MathSciNet  Google Scholar 

  3. Boguñá M, et al. Models of social networks based on social distance attachment. Phys Rev E. 2004;70(5):1–8. l

    Google Scholar 

  4. Chessa A, et al. Is Europle evolving toward an integrated research area? Science. 2013;339(6120):650–1.

    Article  Google Scholar 

  5. Girvan M, Newman MEJ. Community structure in social and biological networks. Proc Natl Acad Sci USA. 2002;99(12):7821–26.

    Article  MathSciNet  Google Scholar 

  6. Goldstein M, Morris S, Yen G. Group-based Yule model for bipartite author-paper networks. Phys Rev E. 2005;71(2):1–6.

    Article  Google Scholar 

  7. Grönlund A, Holme P. Networking the seceder model: group formation in social and economic systems. Phys Rev E. 2004;70(3):1–9.

    Article  Google Scholar 

  8. Guimera R, et al. Team assembly mechanisms determine collaboration network structure and team performance. Science. 2005;308(5722):697–702.

    Article  Google Scholar 

  9. Hagedoorn J, Kranenburg HV, Osborn RN. Joint patenting amongst companies – exploring the effects of inter-firm R&D partnering and experience. Manag Decis Econ. 2003;24:71–84.

    Article  Google Scholar 

  10. Hall BH, Jaffe AB, Trajtenberg M. The NBER patent citations data file: lessons, insights and methodological tools. National Bureau of Economic Research Working Paper 8498; 2001.

    Google Scholar 

  11. Inoue H. A two-layer team-assembly model for invention networks. Phys A Stat Mech Appl. 2014;415:181–8.

    Article  MathSciNet  Google Scholar 

  12. Jin EM, Girvan M, Newman ME. Structure of growing social networks. Phys Rev E. 2001;64(4):046132.

    Article  Google Scholar 

  13. Jones BJ, Wuchty S, Uzzi B. Multi-university research teams: shifting impact, geography, and stratification in science. Science. 2008;322(5905):1259–62.

    Article  Google Scholar 

  14. Kimura M, Saito K, Ueda N. Modeling of growing networks with directional attachment and communities. Neural Netw. 2004;17(7):975–88.

    Article  Google Scholar 

  15. Kirkpatrick S, Gelatt Jr CC, Vecchi MP. Optimization by simulated annealing. Science. 1983;220(4598):671–80.

    Article  MathSciNet  Google Scholar 

  16. Li C, Maini PK. An evolving network model with community structure. J Phys A Math Gen. 2005;38(45):9741–9.

    Article  MathSciNet  Google Scholar 

  17. Motter A, Nishikawa T, Lai Y-C. Large-scale structural organization of social networks. Phys Rev E. 2003;68(3):1–5.

    Article  Google Scholar 

  18. Newman MEJ. The structure of scientific collaboration networks. Proc Natl Acad Sci USA. 2001;98:404–9.

    Article  MathSciNet  Google Scholar 

  19. Newman MEJ. Coauthorship networks and patterns of scientific collaboration. Proc Natl Acad Sci USA. 2004;101:5200–5.

    Article  Google Scholar 

  20. Newman MEJ, Girvan M. Finding and evaluating community structure in networks. Phys Rev E. 2004;69(2):1–5.

    Article  Google Scholar 

  21. Radicchi F, et al. Defining and identifying communities in networks. Proc Natl Acad Sci USA. 2004;101(9):2658–63.

    Article  Google Scholar 

  22. Ramasco J, Dorogovtsev S, Pastor-Satorras R. Self-organization of collaboration networks. Phys Rev E. 2004;70(30):1–10.

    Google Scholar 

  23. Tamada S, Kodama F, Gemba K. A study on science linkage of Japanese patents; an analysis on patents in the field of genetic technology by constructing a citation database. J Sci Policy Res Manag. 2002;17(3/4):222–30.

    Google Scholar 

  24. Trajtenberg M, Shiff G, Melamed R. The “NAMES GAME”: harnessing inventors’ patent data for economic research. National Bureau of Economic Research Working Paper 12479; 2006.

    Google Scholar 

  25. Wuchty S, Jones BF, Uzzi B. The increasing dominance of teams in production of knowledge. Science. 2007;316(5827):1036–9.

    Article  Google Scholar 

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Inoue, H. (2020). Generative Model: Intertexture of Firm and Inventor. In: Co-patenting: An Analytic Tool for Cooperative Research and Development. Evolutionary Economics and Social Complexity Science, vol 21. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54807-2_8

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