Export citation

Export citation

Choose format for download:

Download Citation
  • Access by Xinjiang University

Robustness of network of networks under targeted attack

Gaogao Dong1,2,*, Jianxi Gao2,3, Ruijin Du1,2,4, Lixin Tian1, H. Eugene Stanley2, and Shlomo Havlin5

  • 1Nonlinear Scientific Research Center, Faculty of Science, Jiangsu University, Zhenjiang 212013, China
  • 2Center for Polymer Studies and Department of Physics, Boston University, Boston, Massachusetts 02215, USA
  • 3Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
  • 4College of Mathematics Science, Chongqing Normal University, Chongqing 401331, China
  • 5Department of Physics, Bar-Ilan University, 52900 Ramat-Gan, Israel

  • *dfocus.gao@gmail.com

Phys. Rev. E 87, 052804 – Published 16 May, 2013

DOI: https://doi.org/10.1103/PhysRevE.87.052804

Abstract

The robustness of a network of networks (NON) under random attack has been studied recently [Gao et al., Phys. Rev. Lett. 107, 195701 (2011)]. Understanding how robust a NON is to targeted attacks is a major challenge when designing resilient infrastructures. We address here the question how the robustness of a NON is affected by targeted attack on high- or low-degree nodes. We introduce a targeted attack probability function that is dependent upon node degree and study the robustness of two types of NON under targeted attack: (i) a tree of n fully interdependent Erdős-Rényi or scale-free networks and (ii) a starlike network of n partially interdependent Erdős-Rényi networks. For any tree of n fully interdependent Erdős-Rényi networks and scale-free networks under targeted attack, we find that the network becomes significantly more vulnerable when nodes of higher degree have higher probability to fail. When the probability that a node will fail is proportional to its degree, for a NON composed of Erdős-Rényi networks we find analytical solutions for the mutual giant component P as a function of p, where 1p is the initial fraction of failed nodes in each network. We also find analytical solutions for the critical fraction pc, which causes the fragmentation of the n interdependent networks, and for the minimum average degree k¯min below which the NON will collapse even if only a single node fails. For a starlike NON of n partially interdependent Erdős-Rényi networks under targeted attack, we find the critical coupling strength qc for different n. When q>qc, the attacked system undergoes an abrupt first order type transition. When qqc, the system displays a smooth second order percolation transition. We also evaluate how the central network becomes more vulnerable as the number of networks with the same coupling strength q increases. The limit of q=0 represents no dependency, and the results are consistent with the classical percolation theory of a single network under targeted attack.

Article Text

References (44)

  1. D. J. Watts and S. H. Strogatz, Nature (London) 393, 440 (1998).
  2. A.-L. Barabási and R. Albert, Science 286, 509 (1999).
  3. R. Albert and A.-L. Barabasi, Rev. Mod. Phys. 74, 47 (2002).
  4. R. Cohen, K. Erez, D. ben-Avraham, and S. Havlin, Phys. Rev. Lett. 85, 4626 (2000); 86, 3682 (2001).
  5. D. S. Callaway, M. E. J. Newman, S. H. Strogatz, and D. J. Watts, Phys. Rev. Lett. 85, 5468 (2000).
  6. S. N. Dorogovtsev and J. F. F. Mendes, Evolution of Networks: From Biological Nets to the Internet and WWW (Oxford University Press, New York, 2003).
  7. R. P. Satorras and A. Vespignani, Evolution and Structure of the Internet: A Statistical Physics Approach (Cambridge University Press, Cambridge, 2006).
  8. A. Bashan, R. P. Bartsch, J. W. Kantelhardt, S. Havlin, and P. C. Ivanov, Nat. Commun. 3, 702 (2012).
  9. C. Song, S. Havlin, and H. A. Makse, Nature (London) 433, 392 (2005); Nat. Phys. 2, 275 (2006).
  10. R. Cohen and S. Havlin, Complex Networks: Structure, Robustness and Function (Cambridge University Press, Cambridge, 2010).
  11. G. Caldarelli and A. Vespignani, Large-Scale Structure and Dynamics of Complex Webs (World Scientific, Singapore, 2007).
  12. M. E. J. Newman, Networks: An Introduction (Oxford University Press, New York, 2010).
  13. R. Cohen, S. Havlin, and D. ben-Avraham, Phys. Rev. Lett. 91, 247901 (2003); D. Zhou, H. E. Stanley, G. D'Agostino, and A. Scala, Phys. Rev. E 86, 066103 (2012).
  14. S. Son, G. Bizhani, C. Christensen, P. Grassberger, and M. Paczuski, Europhys. Lett. 84, 16006 (2012).
  15. Z. Wang, A. Szolnoki, and M. Perc, Europhys. Lett. 97, 48001 (2012).
  16. G. J. Baxter, S. N. Dorogovtsev, A. V. Goltsev, and J. F. F. Mendes, Phys. Rev. Lett. 109, 248701 (2012).
  17. Z. Wang, A. Szolnoki, and M. Perc, Sci. Rep. 3, 1183 (2013).
  18. S. Amina, G. A. Schwartzb, and S. S. Sastryb, Automatica 49, 1 (2013).
  19. J. F. Castet and J. H. Saleh, PLoS One 8, e60402 (2013).
  20. C. D. Brummitta, R. M. DSouzab, and E. A. Leichtf, Proc. Natl. Acad. Sci. USA 109, E680 (2012).
  21. C. M. Schneider, A. A. Moreira, J. S. Andrade Jr., S. Havlin, and H. J. Herrmann, Proc. Natl. Acad. Sci. USA 108, 3838 (2011); C. M. Schneider, N. Yazdani, N. A. M. Araujo, S. Havlin, and H. J. Herrmann, arXiv:1106.3234.
  22. J. C. Laprie, K. Kanoun, and M. Kaniche, in Computer Safety, Reliability, and Security: 26th International Conference, SAFECOMP 2007, Nuremberg, Germany, September 18–21, 2007. Proceedings, Lecture Notes in Computer Science, Vol. 4680 (2007), p. 54.
  23. J. Goldenberg, Y. Shavitt, E. Shir, and S. Solomon, Nat. Phys. 184, 1 (2005).
  24. P. Pederson, D. Dudenhoeffer, S. Hartley, and M. Permann, Technical Report INL/EXT-06-11464, Idaho National Laboratory, 2006.
  25. V. Rosato, Int. J. Crit. Infrastruct. 4, 63 (2008).
  26. S. Rinaldi, J. Peerenboom, and T. Kelly, IEEE Contr. Syst. Mag. 21, 11 (2001).
  27. S. V. Buldyrev, R. Parshani, G. Paul, H. E. Stanley, and S. Havlin, Nature (London) 464, 1025 (2010).
  28. R. Parshani, S. V. Buldyrev, and S. Havlin, Phys. Rev. Lett. 105, 048701 (2010).
  29. J. Gao, S. V. Buldyrev, S. Havlin, and H. E. Stanley, Phys. Rev. Lett. 107, 195701 (2011).
  30. K. Zhao and G. Bianconi, J. Stat. Mech. (2013) P05005.
  31. X. Huang, J. Gao, S. V. Buldyrev, S. Havlin, and H. E. Stanley, Phys. Rev. E 83, 065101(R) (2011).
  32. G. Dong, J. Gao, L. Tian, R. Du, and Y. He, Phys. Rev. E 85, 016112 (2012).
  33. I. Simonsen, L. Buzna, K. Peters, S. Bornholdt, and D. Helbing, Phys. Rev. Lett. 100, 218701 (2008).
  34. A. E. Motter and Y.-C. Lai, Phys. Rev. E 66, 065102 (2002).
  35. L. K. Gallos, R. Cohen, P. Argyrakis, A. Bunde, and S. Havlin, Phys. Rev. Lett. 94, 188701 (2005).
  36. J. Gao, S. V. Buldyrev, S. Havlin, and H. E. Stanley, Phys. Rev. E 85, 066134 (2012); T. Kalisky, R. Cohen, D. ben-Avraham, and S. Havlin, Europhys. Lett. 38, 269 (2004).
  37. S. Havlin, N. A. M. Araujo, S. V. Buldyrev, C. S. Dias, R. Parshani, G. Paul, and H. E. Stanley, arXiv:1012.0206v1; D. Zhou, J. Gao, H. E. Stanley, and S. Havlin, arXiv:1206.2427v2.
  38. Y. Hu, B. Ksherim, R. Cohen, and S. Havlin, Phys. Rev. E 84, 066116 (2011).
  39. J. Gao, S. V. Buldyrev, S. Havlin, and H. E. Stanley, Nat. Phys. 8, 40 (2012).
  40. Q. Li, L. A. Braunstein, S. Havlin, and H. E. Stanley, Phys. Rev. E 84, 066101 (2011).
  41. M. E. J. Newman, Phys. Rev. E 66, 016128 (2002).
  42. J. Shao, S. V. Buldyrev, S. Havlin, and H. E. Stanley, Phys. Rev. E 83, 036116 (2011).
  43. J. Shao, S. V. Buldyrev, L. A. Braunstein, S. Havlin, and H. E. Stanley, Phys. Rev. E 80, 036105 (2009).
  44. R. Parshani, S. V. Buldyrev, and S. Havlin, Proc. Natl. Acad. Sci. USA 108, 1007 (2011).

Outline

Information

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation