Article
Multidisciplinary Sciences
Niall Rodgers, Peter Tino, Samuel Johnson
Summary: In many real, directed networks, the strongly connected component is very small and not following the current theory based on random graphs. This has significant implications for other properties of real networks and the behavior of complex systems. Strong connectivity depends on the network's overall direction or hierarchical ordering, measured by trophic coherence. The targeted attack on edges running counter to the overall direction can disrupt the connectivity structure, indicating that dynamical processes on networks can be influenced by a small fraction of edges.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2023)
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
Xueming Liu, Mengyu Lv, Wenting Xu
Summary: Researchers have developed a general analytical tool for analyzing the robustness of networks of directed networks (NODNs) under targeted attacks. The tool can predict the sizes of the final giant strongly connected components and phase transitions in the NODNs. They discovered quadruple and triple points in random regular NODNs and networks of directed scale-free networks respectively, which have not been found before in studies of complex networks. These tipping points provide insights into network robustness and can facilitate the design of networked systems.
NEW JOURNAL OF PHYSICS
(2023)
Article
Neurosciences
Ignacio Cifre, Maria T. Miller Flores, Lucia Penalba, Jeremi K. Ochab, Dante R. Chialvo
Summary: The center stage of neuro-imaging is currently focused on studying functional correlations between brain regions, which define brain functional networks. This study proposes a new measure of nonlinear dynamic directed functional connectivity across regions of interest, providing directed information of functional correlations and a measure of temporal lags without extensive numerical complications. This approach offers a different and complementary perspective in analyzing brain co-activation patterns.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Physics, Fluids & Plasmas
Sepehr Arbabi, Muhammad Sahimi
Summary: Extensive simulations of rigidity percolation in large body-centered cubic (bcc) lattices show that topological properties and elastic moduli may undergo a first-order phase transition at a critical point p(ce). This transition is characterized by a stairwise behavior of elastic moduli and the formation of compact, non-fractal clusters as the lattice size increases, indicating a departure from second-order phase transitions typically associated with scale-invariant clusters.
Article
Mathematics, Applied
Yuan-Hang Zhang, Massimiliano Di Ventra
Summary: Digital memcomputing machines are a novel type of machines designed to solve combinatorial optimization problems, with solutions reported to have substantial advantages over current solvers. Even in the presence of numerical noise, solutions can still be achieved, with the forward Euler method being the most efficient. Adding to this, there is a solvable-unsolvable transition in the system at a critical threshold, showing the robustness and usefulness of DMMs in solving complex optimization problems.
Article
Physics, Fluids & Plasmas
Harrison Hartle, Fragkiskos Papadopoulos, Dmitri Krioukov
Summary: This study introduces natural temporal extensions of static hidden-variable network models with stochastic dynamics of hidden variables and links, exploring the structural deviations and level of persistence compared to static models. By controlling the dynamic parameters of hidden variables and links, the equivalence between snapshots of networks in dynamic and static models under different conditions is examined. The authors also discuss qualitative resemblances between these dynamic network models and real systems, speculating on the presence of out-of-equilibrium links with respect to hidden variables in some real networks.
Article
Physics, Fluids & Plasmas
Lorenzo Cirigliano, Claudio Castellano, Gabor Timar
Summary: The paper introduces the application of classical percolation theory in information transfer and discusses the requirement for communication between nodes in specific situations. The study finds that the interplay of extended range and heterogeneity leads to novel critical behavior in scale-free networks.
Article
Materials Science, Multidisciplinary
Lorenzo Piroli, Yaodong Li, Romain Vasseur, Adam Nahum
Summary: We study quantum circuits and analyze the transitions that occur as the rate of control operations is increased. We show that the measurement-induced entanglement transition and the directed percolation transition into the absorbing state are distinct. By introducing effective tensor networks, we analyze the entanglement and absorbing-state transitions.
Article
Multidisciplinary Sciences
F. Musciotto, S. Micciche
Summary: Network dismantling is a significant research field in network science, which focuses on prioritizing the removal of nodes that connect different network communities. The study shows that the dismantling performances are robust and not dependent on specific algorithms, allowing for the identification of multiple strategies with comparable effectiveness.
SCIENTIFIC REPORTS
(2023)
Article
Physics, Applied
Elham Sharafedini, Hossein Hamzehpour, Mohammad Alidoust
Summary: In this study, a simple parametric formula for charge conductance of nonmagnetic two-phase porous and random alloys was obtained. The formula exhibits remarkable agreement in describing system response and can be used to guide experiments.
APPLIED PHYSICS LETTERS
(2023)
Article
Physics, Multidisciplinary
Youjin Deng, Robert M. Ziff
Summary: This study investigates the characteristics of the elastic backbone in a cylindrical system and finds that it shares similar structure with the backbone of two-dimensional directed percolation. The research reveals that there are differences in the fractal dimensions of these backbones both in the bulk and at the edge. The authors suggest that these differences are related to the exponents of two-dimensional directed percolation.
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL
(2022)
Article
Multidisciplinary Sciences
Mingshan Jia, Bogdan Gabrys, Katarzyna Musial
Summary: The paper introduces the directed closure coefficient to measure the formation of directed triangles, and introduces the source closure coefficient and the target closure coefficient, proposing four closure patterns. Experimental results show that the four closure patterns are distinctive features in classifying network types at the network level, while adding the source and target closure coefficients in most types of directed networks can significantly improve the accuracy of link prediction tasks at the node level.
Article
Physics, Applied
Yuri Yu. Tarasevich, Andrei V. Eserkepov, Irina V. Vodolazskaya
Summary: The study focused on the electrical conductivity of nanoring-based, transparent conductive films for flexible electronic devices. A mean-field approach was proposed to estimate the dependency of electrical conductivity on main parameters, showing applicability when wire resistance dominates and both resistances are of the same order. Linear dependence on ring density was found when wire resistance dominates, but a quadratic dependence was observed when junction resistance dominates, leading to significant overestimation by the mean-field approach.
JOURNAL OF APPLIED PHYSICS
(2021)
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
Computer Science, Interdisciplinary Applications
Reuven Cohen, Mira Gonen, Asaf Levin, Shmuel Onn
JOURNAL OF COMBINATORIAL OPTIMIZATION
(2017)
Article
Operations Research & Management Science
Reuven Cohen, Mira Gonen
ANNALS OF OPERATIONS RESEARCH
(2019)
Article
Physics, Multidisciplinary
Chittaranjan Hens, Uzi Harush, Simi Haber, Reuven Cohen, Baruch Barzel
Article
Computer Science, Information Systems
Michal Yemini, Anelia Somekh-Baruch, Reuven Cohen, Amir Leshem
IEEE TRANSACTIONS ON INFORMATION THEORY
(2019)
Article
Multidisciplinary Sciences
Adar Hacohen, Reuven Cohen, Sol Efroni, Baruch Barzel, Ido Bachelet
SCIENTIFIC REPORTS
(2019)
Article
Multidisciplinary Sciences
Dror Meidan, Nava Schulmann, Reuven Cohen, Simcha Haber, Eyal Yaniv, Ronit Sarid, Baruch Barzel
Summary: The alternating quarantine strategy effectively reduces infectious interactions and provides a significant decrease in transmission while maintaining socioeconomic continuity. The weekly alternations also help address the specific challenge of COVID-19 by isolating the majority of infected individuals precisely at the time of their peak infection.
NATURE COMMUNICATIONS
(2021)
Letter
Physics, Multidisciplinary
Chittaranjan Hens, Uzi Harush, Simcha Haber, Reuven Cohen, Baruch Barzel
Article
Physics, Fluids & Plasmas
Nir Schreiber, Reuven Cohen, Simi Haber, Gideon Amir, Baruch Barzel
Article
Law
Oren Perez, Reuven Cohen, Nir Schreiber
REGULATION & GOVERNANCE
(2019)
Review
Law
Oren Perez, Judit Bar-Ilan, Reuven Cohen, Nir Schreiber
Article
Physics, Fluids & Plasmas
Nir Lahav, Irene Sendina-Nadal, Chittaranjan Hens, Baruch Ksherim, Baruch Barzel, Reuven Cohen, Stefano Boccaletti
Article
Physics, Multidisciplinary
Y. Lin, A. Patron, S. Guo, R. Kang, D. Li, S. Havlin, R. Cohen
Article
Physics, Fluids & Plasmas
Filippos Lazaridis, Bnaya Gross, Michael Maragakis, Panos Argyrakis, Ivan Bonamassa, Shlomo Havlin, Reuven Cohen
Article
Physics, Fluids & Plasmas
Nir Schreiber, Reuven Cohen, Simi Haber
Article
Physics, Fluids & Plasmas
Amikam Patron, Reuven Cohen, Daqing Li, Shlomo Havlin