Issue |
EPL
Volume 102, Number 6, June 2013
|
|
---|---|---|
Article Number | 68004 | |
Number of page(s) | 6 | |
Section | Interdisciplinary Physics and Related Areas of Science and Technology | |
DOI | https://doi.org/10.1209/0295-5075/102/68004 | |
Published online | 11 July 2013 |
Robustness of n interdependent networks with partial support-dependence relationship
1 Nonlinear Scientific Research Center, Faculty of Science, Jiangsu University - Zhenjiang, 212013, China
2 Center for Polymer Studies and Department of Physics, Boston University - Boston, MA 02215, USA
3 College of Mathematics Science, Chongqing Normal University - Chongqing, 401331, China
Received: 21 March 2013
Accepted: 5 June 2013
We study both analytically and numerically the robustness of n interdependent networks with partial support-dependence relationship, which reflects real-world networks more realistically. For a starlike network of n Erdős-Rényi (ER) networks, we find that the system undergoes from second-order to first-order phase transition as coupling strength q increases. Moreover, we notice that the region of the first-order transition becomes larger, while the region of the second-order transition becomes smaller as the number of networks n increases. However, for a starlike network of n scale-free (SF) networks, the system undergoes from second-order through hybrid-order to first-order phase transition as q increases. Furthermore, we also observe that the region of the first-order transition remains constant and appears only for q = 1, however, the region of hybrid-order transition gradually becomes larger and the region of the second-order transition becomes smaller as n increases. For a looplike network of n ER networks, we find the giant component p∞ to be independent of the number of networks. Additionally, when the average degree of networks increases, the region of the first-order transition becomes smaller and the region of the second-order transition becomes larger. For the case of n ER networks with partial support-dependence relationship, as average supported degree , n coupled networks become independent and only second-order transition is observed, which is similar to q = 0.
PACS: 89.75.-k – Complex systems / 64.60.aq – Networks / 64.60.ah – Percolation
© EPLA, 2013
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.