Article
Physics, Fluids & Plasmas
Yilun Shang
Summary: This article presents a theoretical framework for studying the robustness of interdependent networks under attacks with limited knowledge. The study reveals that interdependent networks are more vulnerable to random failures on two layers than targeted attacks on one layer. Furthermore, it is found that a balanced distribution of attack knowledge on both layers tends to be most destructive if the total knowledge is a conserved quantity.
Article
Mathematics, Interdisciplinary Applications
Yanyan Zhao, Jie Zhou, Yong Zou, Shuguang Guan, Yanli Gao
Summary: This paper investigates the edge-based interdependent networks (EIN) and finds that EIN is generally more robust than the classical interdependent networks (NIN). The research reveals that this property is due to the fact that the excessive degree of an edge in a network is on average larger than the degree of a node. A theory is developed based on a quenched network framework to verify this property, introducing the notion of compound excessive degree (CED). Several novel properties of EIN, including the interlayer correlation and malicious attack relevant to CED, are defined through systematic investigations.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Mathematics, Interdisciplinary Applications
Kexian Zheng, Ying Liu, Jie Gong, Wei Wang
Summary: This paper studies the robustness of circularly interdependent multilayer networks under random node attacks. The authors propose an analytical framework to predict the critical threshold and size of giant component in the steady state, which align well with simulation results. The study focuses on one-to-one and one-to-many dependencies, finding a tricritical point in the former and an increase in percolation threshold with more layers in the latter. Additionally, the robustness of the system increases with inter-layer average degrees in three-layer one-to-many interdependent networks with strong coupling strength.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Mathematics, Interdisciplinary Applications
Hao Peng, Yifan Zhao, Dandan Zhao, Ming Zhong, Zhaolong Hu, Jianming Han, Runchao Li, Wei Wang
Summary: In recent years, the research of multilayer interdependent networks with higher-order interactions has become a hotspot in complex networks. This paper introduces the concept of simplicial complexes to better reflect real-world complex networks. A theoretical model of a two-layer network with simplicial complexes is constructed, and percolation theory is applied to study the network's robustness and properties. The density of the triangle and the dependent strength between the two networks are found to affect the network's percolation behaviors.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Physics, Multidisciplinary
Bnaya Gross, Ivan Bonamassa, Shlomo Havlin
Summary: This study investigates percolation in interdependent resistor networks and demonstrates the impact of spatiality on their coupled functioning. It shows that interdependent resistor networks are more vulnerable than traditional percolation-based networks. The results highlight the significance of different node functionality definitions on the collective properties of coupled processes in networks.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Mathematics, Applied
Yuhang Lai, Ying Liu, Kexian Zheng, Wei Wang
Summary: In this paper, the robustness of interdependent simplicial complexes under random attacks is studied, with a focus on the complementary effects of the higher-order structure. By using the percolation method, the percolation threshold and the size of the giant component when the cascading failure reaches its steady state are derived. The simulation results agree well with analytical predictions, and it is found that the type of phase transition changes depending on the complementary effect and the number of 2-simplices in the interdependent simplicial complex.
Article
Physics, Multidisciplinary
Yanli Gao, Jun Liu, Haiwei He, Jie Zhou, Shiming Chen
Summary: This study introduces a model of interdependent networks with arbitrary edge-coupling strength and develops a mathematical framework to analyze this model. The research findings show that edge-coupled interdependent networks have better robustness compared to node-coupled interdependent networks. Furthermore, it is observed that network A exhibits hybrid percolation behavior within a certain range of coupling strength.
NEW JOURNAL OF PHYSICS
(2022)
Article
Physics, Multidisciplinary
Bnaya Gross, Ivan Bonamassa, Shlomo Havlin
Summary: In this study, we investigate the fluctuations of the order parameter near the threshold of mixed-order phase transitions in randomly interdependent spatial networks. Interestingly, we find that although the structure of the order parameter is not scale invariant, its fluctuations exhibit fractal behavior within a specific correlation length. We characterize these critical fluctuations using the effective fractal dimension and correlation length exponent.
PHYSICAL REVIEW LETTERS
(2022)
Article
Physics, Multidisciplinary
Mengyu Lv, Linqiang Pan, Xueming Liu
Summary: Previous research on the robustness of interdependent networks focused on undirected networks, while directed networks were only limited to random or targeted attacks. However, some failure scenarios such as earthquakes, floods, and epidemics cannot be described by these attacks as they are localized. This study introduces a theoretical framework to analyze the robustness of interdependent directed networks under localized attacks. It is found that for degree homogeneous networks, network robustness under localized attacks is similar to that under random attacks. For degree heterogeneous networks, localized attacks are more likely to lead to collapse than random attacks. The findings provide insights into network robustness and can contribute to the design of robust interdependent systems.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Physics, Multidisciplinary
Yingjie Qiang, Xueming Liu, Linqiang Pan
Summary: This paper investigates a model of fully interdependent networks with weak dependency, analyzing system robustness under link failures by defining a parameter alpha to describe node coupling strength. The study reveals that with increasing node coupling strength, interdependent networks exhibit a discontinuous phase transition.
Article
Physics, Multidisciplinary
Kexian Zheng, Ying Liu, Yang Wang, Wei Wang
Summary: This study investigates the robustness of multiplex networks with interdependent and interconnected links under different inter-layer coupling strengths, revealing the close relationship between system robustness and inter-network dependencies.
Article
Physics, Multidisciplinary
I. Bonamassa, B. Gross, M. Laav, I. Volotsenko, A. Frydman, S. Havlin
Summary: Cascades are self-amplifying processes caused by feedback mechanisms, and this study successfully demonstrates an experimental realization of an interdependent system using a multilayer network of two disordered superconductors separated by an electric insulating film. The results show that large driving currents induce Joule heating effects, acting as dependency links between the superconducting layers and igniting overheating cascades through adaptive and heterogeneous electrothermal feedback. This laboratory manifestation of interdependent systems enables further experimental studies on controlling and developing complex interdependent materials' multiscale phenomena.
Article
Mathematics, Interdisciplinary Applications
Hao Peng, Zhen Qian, Zhe Kan, Dandan Zhao, Juan Yu, Jianmin Han
Summary: The emerging Industrial Internet of Things (IIoT) offers industries the opportunity to collect and analyze data, but also introduces safety challenges. This paper proposes a novel security-by-design approach at two different levels to analyze and mitigate security threats in IIoT systems. The method theoretically analyzes the cascading failure dynamics of intentional attack networks and verifies the results through simulations to identify risk factors and mitigate security threats.
Article
Computer Science, Interdisciplinary Applications
Weifei Zang, Xinsheng Ji, Shuxin Liu, Yingle Li
Summary: In this study, a cascading failure model on interdependent networks with cooperative dependency groups and the effect of group size distributions on the robustness were analyzed based on the framework of group percolation. The results showed that increasing heterogeneity between groups can enhance the robustness of interdependent networks under targeted attacks.
INTERNATIONAL JOURNAL OF MODERN PHYSICS C
(2022)
Article
Physics, Multidisciplinary
Yanli Gao, Haiwei He, Jun Liu, Shiming Chen
Summary: This article establishes a model of partially edge-coupled interdependent networks based on self-consistent probability theory and analyzes its percolation behaviors and thresholds. The research finds that the edge-coupled interdependent networks become more robust as the coupling strength decreases, and the phase transition process is similar to the partially node-coupled interdependent networks. Furthermore, the edge-coupled model has a smaller phase transition threshold compared to the node-coupled model, indicating a more resilient system.
Article
Physics, Multidisciplinary
R. Parshani, C. Rozenblat, D. Ietri, C. Ducruet, S. Havlin
Article
Physics, Multidisciplinary
Antonios Garas, Panos Argyrakis, Celine Rozenblat, Marco Tomassini, Shlomo Havlin
NEW JOURNAL OF PHYSICS
(2010)
Article
Green & Sustainable Science & Technology
Mikhail Rogov, Celine Rozenblat
Article
Urban Studies
Mikhail Rogov, Celine Rozenblat
Summary: This study examines the impact of the crisis in Ukraine and the subsequent economic sanctions on Russia on the positions of Russian cities in global economic networks. The findings show that while the Russian cities' position in the global network decreased, their internationalization increased despite the economic sanctions. The decrease in connectedness mainly affected the intranational firm linkages between Russian cities, which could explain the increasing interregional inequalities in Russia.
JOURNAL OF URBAN AFFAIRS
(2022)
Article
Computer Science, Interdisciplinary Applications
G. Caldarelli, E. Arcaute, M. Barthelemy, M. Batty, C. Gershenson, D. Helbing, S. Mancuso, Y. Moreno, J. J. Ramasco, C. Rozenblat, A. Sanchez, J. L. Fernandez-Villacanas
Summary: While digital twins are currently used to represent cities and their physical structures, integrating complexity science into this approach is crucial to provide more understandable and reliable models and results. The utilization of complexity science theories and methods is urgently required to guide the development and implementation of digital twins in cities. By considering both the short-term and long-term dynamics of cities and their interactions, the theoretical framework from complexity science presents a new approach that treats cities as interwoven self-organizing phenomena, resembling living systems to some extent.
NATURE COMPUTATIONAL SCIENCE
(2023)
Article
Green & Sustainable Science & Technology
Daniela Marino, Celine Rozenblat
Summary: This study analyzes the process of building the concept of urban resilience from 2012 to 2016, revealing the network relationships between stakeholders and concepts, and emphasizes the power of different types of actors in the construction process.
GEOGRAPHY AND SUSTAINABILITY
(2022)
Article
Environmental Studies
Denise Pumain, Celine Rozenblat
ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
(2019)
Article
Anthropology
Celine Rozenblat, Faraz Zaidi, Antoine Bellwald
GLOBAL NETWORKS-A JOURNAL OF TRANSNATIONAL AFFAIRS
(2017)
Article
Mathematics, Interdisciplinary Applications
Muhammad Qasim Pasta, Faraz Zaidi, Celine Rozenblat
JOURNAL OF COMPLEX NETWORKS
(2014)
Article
Geography
Olivier Di Lello, Celine Rozenblat
CYBERGEO-EUROPEAN JOURNAL OF GEOGRAPHY
(2014)
Article
Environmental Studies
Celine Rozenblat
Article
Economics
Cesar Ducruet, Celine Rozenblat, Faraz Zaidi
JOURNAL OF TRANSPORT GEOGRAPHY
(2010)
Article
Geography
Cesar Ducruet, Daniele Ietri, Celine Rozenblat
CYBERGEO-EUROPEAN JOURNAL OF GEOGRAPHY
(2011)