Volume 127, Number 3, August 2019
|Number of page(s)||7|
|Section||Interdisciplinary Physics and Related Areas of Science and Technology|
|Published online||13 September 2019|
Cascading failures in interdependent scale-free networks of different coupling preferences with the harmonic closeness
1 State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University No. 3 Shangyuancun Haidian District, Beijing 100044, China
2 School of Traffic and Transportation, Beijing Jiaotong University - No. 3 Shangyuancun Haidian District, Beijing 100044, China
3 Beijing Research Center of Urban Traffic Information Sensing and Service Technology, Beijing Jiaotong University No. 3 Shangyuancun Haidian District, Beijing 100044, China
Received: 13 March 2019
Accepted: 29 July 2019
The dependency link has an important role in the robustness of interdependent networks, which is assigned by the degree, the betweenness and random coupling in previous works. To enhance the robustness and overcome the limitation in existing methods, coupling preferences with the harmonic closeness are proposed, i.e., assortative coupling with the harmonic closeness (ACH) and disassortative coupling with the harmonic closeness (DCH). We investigate cascading failures on interdependent scale-free networks with different values of the average degree and the coupling strength under intentional attacks. We find that interdependent scale-free networks with DCH are more robust than the ones with ACH. Moreover, increasing the coupling strength leads to the more serious cascading failures. Another striking finding is that our method significantly reduces the impact of cascading failures compared with the methods concerning the degree and the betweenness in interdependent scale-free networks regardless of the average degree and the coupling strength. These findings may be useful for the construction of the dependency links in interdependent scale-free networks to resist the cascading propagation.
PACS: 89.75.Fb – Structures and organization in complex systems / 05.10.-a – Computational methods in statistical physics and nonlinear dynamics / 64.60.aq – Networks
© EPLA, 2019
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.