4.6 Article

Structural resilience of spatial networks with inter-links behaving as an external field

期刊

NEW JOURNAL OF PHYSICS
卷 20, 期 -, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.1088/1367-2630/aadceb

关键词

community structure; percolation; external field; resilience; spatial networks

资金

  1. BIU Center for Research in Applied Cryptography and Cyber Security
  2. Italy-Israel project OPERA
  3. Israel-Italian collaborative project NECST
  4. Israel Science Foundation
  5. ONR
  6. Japan Science Foundation
  7. BSF-NSF
  8. DTRA [HDTRA-1-10-1-0014]
  9. National Natural Science Foundation of China [61403171, 71403105, 2015M581738, 1501100B, 71690242, 91546118]
  10. Key Research Program of Frontier Sciences, CAS [QYZDJ-SSW-SYS019]
  11. Planning and Budgeting Committee of the Council for Higher Education of Israel

向作者/读者索取更多资源

Many real systems such as, roads, shipping routes, and infrastructure systems can be modeled based on spatially embedded networks. The inter-links between two distant spatial networks, such as those formed by transcontinental airline flights, play a crucial role in optimizing communication and transportation over such long distances. Still, little is known about how inter-links affect the structural resilience of such systems. Here, we develop a framework to study the structural resilience of interlinked spatially embedded networks based on percolation theory. We find that the inter-links can be regarded as an external field near the percolation phase transition, analogous to a magnetic field in a ferromagnetic-paramagnetic spin system. By defining the analogous critical exponents delta and gamma, we find that their values for various inter-links structures follow Widom's scaling relations. Furthermore, we study the optimal robustness of our model and compare it with the analysis of real-world networks. The framework presented here not only facilitates the understanding of phase transitions with external fields in complex networks but also provides insight into optimizing real-world infrastructure networks.

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