Advertisement

Research on Patentee Cooperation Network between Enterprises Based on Electronic Information Industry

  • Jianping Li
  • Yinghong Ma
  • Xiulong Wang
  • Pengfei Du
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8351)

Abstract

The paper taked electronic information industry in china as research objects. We collected data from China Intellectual Property (CNIPR), and built an evolution of cooperation network model, according to patentee cooperation between enterprises from 2005 to 2012. Research showed that the node degree distribution basically conforms to power law distribution with a scale-free nature. In this paper defined a cumulative error function with Kolmogorov-Smirnov (KS) statistics, and the result indicated that shifted power law distribution is more in line with real data, which correspond to different time spans. From the visualization of the evolution network, some key nodes, which located in the important position of the network, can be found. Besides two interesting phenomenon appeared: uneven increasing of clusters size and clusters aggregation.

Keywords

enterprise cooperation patentee cooperation network network evolution degree distribution cluster 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Yoon, B., Park, Y.: A text-mining-based patent network: Analytical tool for high – technology trend. The Journal of High Technology Management Research 15(1), 37–50 (2004)CrossRefGoogle Scholar
  2. 2.
    Takagi, S., Toyama, R.: On Growth of network and centrality’s change analysis of co-inventors network in enterprise. In: Lytras, M.D. (ed.) Open Knowledge Society: A Computer Science and Information Systems Manifesto, pp. 422–427. WSKS, Athens (2008)Google Scholar
  3. 3.
    Breschi, S., Catalini, C.: Tracing the links between science and technology: An exploratory analysis of scientists’ and inventors’ networks. Research Policy 39(1), 14–26 (2010)CrossRefGoogle Scholar
  4. 4.
    Fleming, L., Frenken, K.: The evolution of inventor networks in the silicon valley and Boston regions. Advances in Complex Systems 10(1), 53–71 (2007)CrossRefzbMATHGoogle Scholar
  5. 5.
    Hagedoom, J.: Strategic technology partnering during the 1980s: Trends, networks and corporate patterns in non-core technologies* 1. Research Policy 24(2), 207–231 (1995)CrossRefGoogle Scholar
  6. 6.
    Clauset, A., Shalizi, C.R., Newman, M.E.J.: Power-law distributions in empirical data. SIAM Reviews 51, 661–703 (2009)CrossRefzbMATHMathSciNetGoogle Scholar
  7. 7.
    Barabási, A., Albert, R.: Emergence of scaling in random networks. Science 286(5439), 509–512 (1999)CrossRefMathSciNetGoogle Scholar
  8. 8.
    Luo, Y.: Research and Application of the scale-free network model. DongHua University (2009) (in Chinese)Google Scholar
  9. 9.
    Girvan, M., Newman, M.E.J.: Community structure in social and biological networks. Proc. Natl. Acad. Sci. 99, 7821–7826 (2001)CrossRefMathSciNetGoogle Scholar
  10. 10.
    Burt, R.S.: Structural Holes:The Social Structure of Competition. Harvard University Press (1992)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jianping Li
    • 1
  • Yinghong Ma
    • 1
  • Xiulong Wang
    • 1
  • Pengfei Du
    • 1
  1. 1.School of Management Science and EngineeringShandong Normal UniversityJinanChina

Personalised recommendations