Skip to main content

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

  • 237 Accesses

Abstract

Abstract

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Barabási A-L. Network science. Cambridge: Cambridge University Press; 2016.

    MATH  Google Scholar 

  2. Benner M, Waldfogel. J. Close to you? Bias and precision in patent-based measures of technological proximity. Res Policy. 2008;37(9):1556–67.

    Article  Google Scholar 

  3. Berliant M, Fujita M. Knowledge creation as a square dance on the Hilbert cube. Int Econ Rev. 2008;49(4):1251–95.

    Article  MathSciNet  Google Scholar 

  4. Bloom NN, Schankerman M, Van Reenen J. Identifying technology spillovers and product market rivalry. Econometrica. 2013;81(4):1347–93.

    Article  MathSciNet  Google Scholar 

  5. Fleming L, King III C, Juda AI. Small worlds and regional innovation. Organ Sci. 2007;18(6):938–54.

    Article  Google Scholar 

  6. Fleming L, Mingo S, Chen D. Collaborative brokerage, generative creativity, and creative success. Admin Sci Q. 2007;52(3):443–75.

    Article  Google Scholar 

  7. Forti E, Franzoni C, Sobrero M. Bridges or isolates? Investigating the social networks of academic inventors. Res Policy. 2013;42(8):1378–88.

    Article  Google Scholar 

  8. Fortunato S, Barthelemy M. Resolution limit in community detection. Proc Natl Acad Sci. 2007;104(1):36–41.

    Article  Google Scholar 

  9. Gautam A. Collaboration networks, structural holes, and innovation: a longitudinal study. Admin Sci Q. 2000;45(3):425–55.

    Article  Google Scholar 

  10. Gonzalez-Brambila CN, Veloso FM, Krackhardt D. The impact of network embeddedness on research output. Res Pol. 2013;42(9):1555–67.

    Article  Google Scholar 

  11. Goto A, Motohashi K. Construction of a Japanese patent database and a first look at Japanese patenting activities. Res Policy. 2007;36(9):1431–42.

    Article  Google Scholar 

  12. Griliches Z. R&D and productivity-the economic evidence. Chicago: The University of Chicago Press; 1998.

    Book  Google Scholar 

  13. Inoue H. The community structure of business establishments and its properties: evidence from joint patent applications. Evol Inst Econ Rev. 2018;15(2):465–75.

    Article  Google Scholar 

  14. Inoue H, Nakajima K, Saito Y. Localization of collaborations in knowledge creation. Ann Reg Sci. 2019;62(1):119–40.

    Article  Google Scholar 

  15. Kawamoto T, Rosvall M. Estimating the resolution limit of the map equation in community detection. Phys Rev E. 2015;91(1):012809.

    Article  Google Scholar 

  16. Lancichinetti A, Fortunato S. Community detection algorithms: a comparative analysis. Phys Rev E. 2009;80(5):056117.

    Article  Google Scholar 

  17. Nagaoka S, Motohashi K, Goto A. Patent statistics as an innovation indicator. In: Hall BH, editor. Handbook of the economics of innovation, vol. 2. Amsterdam: Elsevier; 2010. p. 1083–127.

    Chapter  Google Scholar 

  18. Rosvall M, Bergstrom CT. Maps of random walks on complex networks reveal community structure. Proc Natl Acad Sci. 2008;105(4):1118–23.

    Article  Google Scholar 

  19. Rosvall M, Bergstrom CT. Multilevel compression of random walks on networks reveals hierarchical organization in large integrated systems. PloS One. 2011;6(4):e18209.

    Article  Google Scholar 

  20. Trajtenberg M. A penny for your quotes: patent citations and the value of innovations. Rand J Econ. 21(1);1990:172–87.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Japan KK, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Inoue, H. (2020). Community of Establishment Networks. 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_6

Download citation

Publish with us

Policies and ethics