Table of Contents Author Guidelines Submit a Manuscript
Discrete Dynamics in Nature and Society
Volume 2017 (2017), Article ID 9731219, 11 pages
https://doi.org/10.1155/2017/9731219
Research Article

Structure Characteristics of the International Stock Market Complex Network in the Perspective of Whole and Part

1School of Economics and Management, Nanjing University of Information Science & Technology, Ningliu Road 219, Nanjing 210044, China
2Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Ningliu Road 219, Nanjing 210044, China
3School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, China

Correspondence should be addressed to Guangxi Cao; nc.ude.tsiun@ixgnaugoac

Received 23 September 2016; Accepted 12 February 2017; Published 6 March 2017

Academic Editor: Juan Pavón

Copyright © 2017 Guangxi Cao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. R. N. Mantegna, “Hierarchical structure in financial markets,” The European Physical Journal B—Condensed Matter and Complex Systems, vol. 11, no. 1, pp. 193–197, 1999. View at Google Scholar · View at Scopus
  2. H.-J. Kim, I.-M. Kim, Y. Lee, and B. Kahng, “Scale-free network in stock markets,” Journal of the Korean Physical Society, vol. 40, no. 6, pp. 1105–1108, 2002. View at Google Scholar · View at Scopus
  3. H.-J. Kim, Y. Lee, B. Kahng, and I.-M. Kim, “Weighted scale-free network in financial correlations,” Journal of the Physical Society of Japan, vol. 71, no. 9, pp. 2133–2136, 2002. View at Publisher · View at Google Scholar · View at Scopus
  4. J.-P. Onnela, K. Kaski, and J. Kertész, “Clustering and information in correlation based financial networks,” European Physical Journal B, vol. 38, no. 2, pp. 353–362, 2004. View at Publisher · View at Google Scholar · View at Scopus
  5. B. M. Tabak, T. R. Serra, and D. O. Cajueiro, “Topological properties of stock market networks: the case of Brazil,” Physica A: Statistical Mechanics and Its Applications, vol. 389, no. 16, pp. 3240–3249, 2010. View at Publisher · View at Google Scholar · View at Scopus
  6. M. Tumminello, T. Di Matteo, T. Aste, and R. N. Mantegna, “Correlation based networks of equity returns sampled at different time horizons,” The European Physical Journal B. Condensed Matter and Complex Systems, vol. 55, no. 2, pp. 209–217, 2007. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  7. V. Boginski, S. Butenko, and P. M. Pardalos, “Statistical analysis of financial networks,” Computational Statistics & Data Analysis, vol. 48, no. 2, pp. 431–443, 2005. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  8. W.-Q. Huang, X.-T. Zhuang, and S. A. Yao, “A network analysis of the Chinese stock market,” Physica A: Statistical Mechanics and Its Applications, vol. 388, no. 14, pp. 2956–2964, 2009. View at Publisher · View at Google Scholar · View at Scopus
  9. C. K. Tse, J. Liu, and F. C. M. Lau, “A network perspective of the stock market,” Journal of Empirical Finance, vol. 17, no. 4, pp. 659–667, 2010. View at Publisher · View at Google Scholar · View at Scopus
  10. R. Gu, Y. Shao, and Q. Wang, “Is the efficiency of stock market correlated with multifractality? An evidence from the Shanghai stock market,” Physica A: Statistical Mechanics and Its Applications, vol. 392, no. 2, pp. 361–370, 2013. View at Publisher · View at Google Scholar · View at Scopus
  11. P. Hu, J. Qi, and B. Wang, “The characteristics analysis of the stock network based on weighted relative values: an example of information service industry,” in Proceedings of the 2nd National Conference for Engineering Sciences (FNCES '13), July 2013. View at Publisher · View at Google Scholar
  12. M. Gałązka, “Characteristics of the Polish stock market correlations,” International Review of Financial Analysis, vol. 20, no. 1, pp. 1–5, 2011. View at Publisher · View at Google Scholar · View at Scopus
  13. A. Namaki, A. H. Shirazi, R. Raei, and G. R. Jafari, “Network analysis of a financial market based on genuine correlation and threshold method,” Physica A: Statistical Mechanics and Its Applications, vol. 390, no. 21-22, pp. 3835–3841, 2011. View at Publisher · View at Google Scholar · View at Scopus
  14. P. Caraiani, “Characterizing emerging European stock markets through complex networks: from local properties to self-similar characteristics,” Physica A: Statistical Mechanics and its Applications, vol. 391, no. 13, pp. 3629–3637, 2012. View at Publisher · View at Google Scholar · View at Scopus
  15. J. Ma, J. Yang, X. Zhang, and Y. Huang, “Analysis of Chinese stock market from a complex network perspective: better to invest in the central,” in Proceedings of the 34th Chinese Control Conference (CCC '15), pp. 8606–8611, July 2015. View at Publisher · View at Google Scholar · View at Scopus
  16. C. H. Tan and D. Ding, “Volatilities and correlations in the stock market during the global financial crisis,” in Proceedings of the 28th Australasian Finance and Banking Conference, August 2015. View at Publisher · View at Google Scholar
  17. M. E. Newman, “Mixing patterns in networks,” Physical Review E. Statistical, Nonlinear, and Soft Matter Physics, vol. 67, no. 2, Article ID 026126, 2003. View at Publisher · View at Google Scholar · View at MathSciNet
  18. M. G. Kendall, “A new measure of rank correlation,” Biometrika, vol. 30, no. 1-2, pp. 81–93, 1938. View at Google Scholar
  19. R. Albert and A.-L. Barabási, “Statistical mechanics of complex networks,” Reviews of Modern Physics, vol. 74, no. 1, pp. 47–97, 2002. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  20. M. E. J. Newman and D. J. Watts, “Scaling and percolation in the small-world network model,” Physical Review E, vol. 60, no. 6, pp. 7332–7342, 1999. View at Google Scholar · View at Scopus
  21. D. J. Watts and S. H. Strogatz, “Collective dynamics of ‘small-world’ networks,” Nature, vol. 393, no. 6684, pp. 440–442, 1998. View at Publisher · View at Google Scholar · View at Scopus
  22. A. Abraham, A. E. Hassanien, and V. Snášel, Computational Social Network Analysis: Trends, Tools and Research Advances, Springer, 2009.
  23. Y. Xing, J. Lu, and S. Chen, “Weighted complex network analysis of shanghai rail transit system,” Discrete Dynamics in Nature and Society, vol. 2016, Article ID 1290138, 8 pages, 2016. View at Publisher · View at Google Scholar
  24. L. Huang, W. Wang, and M. Wang, “Simulation research of space-time evolution of emergency logistics network reliability based on complex network theory,” Discrete Dynamics in Nature and Society, Article ID 303187, 7 pages, 2013. View at Google Scholar · View at MathSciNet
  25. W.-Q. Huang, X.-T. Zhuang, and S. Yao, “A network analysis of the Chinese stock market,” Physica A: Statistical Mechanics and Its Applications, vol. 388, no. 14, pp. 2956–2964, 2009. View at Publisher · View at Google Scholar · View at Scopus
  26. M. E. J. Newman, “The structure and function of complex networks,” SIAM Review, vol. 45, no. 2, pp. 167–256, 2003. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus