Robustness of interdependent and interconnected clustered networks

被引:13
|
作者
Tian, Lixin [1 ,2 ]
Huang, Yi [1 ]
Dong, Gaogao [1 ]
Du, Ruijin [1 ]
Shi, Liu [1 ]
机构
[1] Jiangsu Univ, Fac Sci, Nonlinear Sci Res Ctr, Zhenjiang 212013, Peoples R China
[2] Nanjing Normal Univ, Sch Math Sci, Nanjing 210046, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Clustered networks; Robustness; Interdependent and interconnected network;
D O I
10.1016/j.physa.2014.05.063
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
In real world, most systems show significant clustering, and it is more practical to investigate the behaviors of clustered network. Previous studies are mostly focused on single clustered network and coupled clustered networks with dependency links. Here we study two clustered networks coupled with both interdependent and interconnected links by introducing generating function of the joint degree distribution. When the networks are fully dependent, we obtain the analytical solution of giant component P. We show rich phase transition phenomena and analyze their behaviors. We find that, as dependency coupling strength increases, the system changes from second order phase transition through hybrid transition to first order phase transition. For weak dependency coupling strength q(A), corresponding to second order phase transition, we find that, clustering has almost no effect on the robustness of network, but for strong dependency coupling strength q(A), corresponding to first order transition, the more clustered system is more vulnerable. At the same time, we notice that when the system is more clustered, the hybrid order region is almost unchangeable, the first order region becomes smaller, and the second order region is larger. Additionally, we can see that, the bigger the clustering coefficient c is, the bigger the second order region becomes. For the same c, the density of connectivity links between networks is higher, the second order region becomes smaller, and the density of connectivity links within each network is higher, the second order region becomes bigger. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:120 / 126
页数:7
相关论文
共 50 条
  • [1] The robustness of interdependent clustered networks
    Huang, Xuqing
    Shao, Shuai
    Wang, Huijuan
    Buldyrev, Sergey V.
    Stanley, H. Eugene
    Havlin, Shlomo
    EPL, 2013, 101 (01)
  • [2] Robustness of network of networks with interdependent and interconnected links
    Dong, Gaogao
    Du, Ruijin
    Tian, Lixin
    Liu, Runran
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2015, 424 : 11 - 18
  • [3] Robustness of a partially interdependent network formed of clustered networks
    Shao, Shuai
    Huang, Xuqing
    Stanley, H. Eugene
    Havlin, Shlomo
    PHYSICAL REVIEW E, 2014, 89 (03)
  • [4] On Robustness in Multilayer Interdependent Networks
    Banerjee, Joydeep
    Zhou, Chenyang
    Das, Arun
    Sen, Arunabha
    CRITICAL INFORMATION INFRASTRUCTURES SECURITY, CRITIS 2015, 2016, 9578 : 247 - 250
  • [5] Robustness of circularly interdependent networks
    Zheng, Kexian
    Liu, Ying
    Gong, Jie
    Wang, Wei
    CHAOS SOLITONS & FRACTALS, 2022, 157
  • [6] The robustness of interdependent weighted networks
    Wang, Fan
    Tian, Lixin
    Du, Ruijin
    Dong, Gaogao
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 508 : 675 - 680
  • [7] Robustness of Interdependent Random Geometric Networks
    Zhang, Jianan
    Yeh, Edmund
    Modiano, Eytan
    IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2019, 6 (03): : 474 - 487
  • [8] On the Robustness of No-Feedback Interdependent Networks
    Wang, Junde
    Lao, Songyang
    Huang, Shengjun
    Bai, Liang
    Hou, Lvlin
    APPLIED SCIENCES-BASEL, 2018, 8 (05):
  • [9] Assortativity decreases the robustness of interdependent networks
    Zhou, Di
    Stanley, H. Eugene
    D'Agostino, Gregorio
    Scala, Antonio
    PHYSICAL REVIEW E, 2012, 86 (06):
  • [10] Robustness of Interdependent Random Geometric Networks
    Zhang, Jianan
    Yeh, Edmund
    Modiano, Eytan
    2016 54TH ANNUAL ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING (ALLERTON), 2016, : 172 - 179