The ubiquitous coupled relationship between network systems has become an essential paradigm to depict complex systems. A remarkable property in the coupled complex systems is that a functional node should have multiple external support associations in addition to maintaining the connectivity of the local network. In this paper, we develop a theoretical framework to study the structural robustness of the coupled network with multiple useful dependency links. It is defined that a functional node has the broadest connectivity within the internal network and requires at least support link of the other network to function. In this model, we present exact analytical expressions for the process of cascading failures, the fraction of functional nodes in the stable state, and provide a calculation method of the critical threshold. The results indicate that the system undergoes an abrupt phase transition behavior after initial failure. Moreover, the minimum inner and inter-connectivity density to maintain system survival is graphically presented at different multiple effective dependency links. Furthermore, we find that the system needs more internal connection densities to avoid collapse when it requires more effective support links. These findings allow us to reveal the details of a more realistic coupled complex system and develop efficient approaches for designing resilient infrastructure.
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March 2021
Research Article|
March 26 2021
Percolation on coupled networks with multiple effective dependency links Available to Purchase
Gaogao Dong;
Gaogao Dong
1
School of Mathematical Sciences, Jiangsu University
, Zhenjiang 212013 Jiangsu, China
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Qunying Yao;
Qunying Yao
1
School of Mathematical Sciences, Jiangsu University
, Zhenjiang 212013 Jiangsu, China
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Fan Wang;
Fan Wang
a)
1
School of Mathematical Sciences, Jiangsu University
, Zhenjiang 212013 Jiangsu, China
2
Department of Physics, Bar-Ilan University
, Ramat-Gan 52900, Israel
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Ruijin Du;
Ruijin Du
a)
1
School of Mathematical Sciences, Jiangsu University
, Zhenjiang 212013 Jiangsu, China
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André L. M. Vilela
;
André L. M. Vilela
3
Física de Materiais, Universidade de Pernambuco
, Recife, Pernambuco 50720-001, Brazil
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H. Eugene Stanley
H. Eugene Stanley
4
Center for Polymer Studies and Department of Physics, Boston University
, Boston, Massachusetts 02115, USA
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Gaogao Dong
1
Qunying Yao
1
Fan Wang
1,2,a)
Ruijin Du
1,a)
André L. M. Vilela
3
H. Eugene Stanley
4
1
School of Mathematical Sciences, Jiangsu University
, Zhenjiang 212013 Jiangsu, China
2
Department of Physics, Bar-Ilan University
, Ramat-Gan 52900, Israel
3
Física de Materiais, Universidade de Pernambuco
, Recife, Pernambuco 50720-001, Brazil
4
Center for Polymer Studies and Department of Physics, Boston University
, Boston, Massachusetts 02115, USA
Chaos 31, 033152 (2021)
Article history
Received:
February 04 2021
Accepted:
March 08 2021
Citation
Gaogao Dong, Qunying Yao, Fan Wang, Ruijin Du, André L. M. Vilela, H. Eugene Stanley; Percolation on coupled networks with multiple effective dependency links. Chaos 1 March 2021; 31 (3): 033152. https://doi.org/10.1063/5.0046564
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