The robustness of interdependent clustered networks
  It was recently found that cascading failures can cause the abrupt breakdown of a system of interdependent networks. Using the percolation method developed for single clustered networks by Newman [Phys. Rev. Lett. {\bf 103}, 058701 (2009)], we develop an analytical method for studying how clustering within the networks of a system of interdependent networks affects the system's robustness. We find that clustering significantly increases the vulnerability of the system, which is represented by the increased value of the percolation threshold $p_c$ in interdependent networks. 
Xuqing Huang, Shuai Shao, Huijuan Wang, Sergey V. Buldyrev, Shlomo   Havlin and H. Eugene Stanley
physics.soc-ph cs.SI