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, 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
Physics, Fluids & Plasmas
Quancheng Wang, Zhenfang He, Junfeng Wang, Hao Hu
Summary: This study investigates the percolation of randomly rotating patchy particles on 11 different two-dimensional Archimedean lattices. The research finds that for particles with fewer patches, the critical proportion mainly depends on the geometry of the lattice, while symmetry becomes crucial in determining the critical proportion for particles with more patches. The results provide valuable references for studying the connectivity of patchy particles on two-dimensional lattices at finite temperatures.
Article
Physics, Multidisciplinary
Gaoke Hu, Yu Sun, Teng Liu, Yongwen Zhang, Maoxin Liu, Jingfang Fan, Wei Chen, Xiaosong Chen
Summary: This study investigated percolation phase transitions on a two-dimensional lattice using machine learning techniques, finding that the same neural networks can identify different phase transitions belonging to the same universality class. This research contributes to machine learning by linking neural networks with universality classes.
SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY
(2023)
Article
Physics, Fluids & Plasmas
Mohadeseh Feshanjerdi, Abbas Ali Saberi
Summary: Inspired by recent viral epidemics, a model was developed to analyze the spread of infectious diseases. It was found that the key characteristics of the model are related to the system size and influenced by extreme states.
Article
Physics, Fluids & Plasmas
N. Valizadeh, M. Samadpour, H. Hamzehpour, M. N. Najafi
Summary: The study investigates the quenched Edwards-Wilkinson growth of the 1 + 1 interface in the presence of correlated random noise. It reveals a depinning transition, linear variation of velocity with time, and different exponents compared to known universality classes. By making the noise long-range correlated, the system is driven out of the Edwards-Wilkinson universality class.
Article
Materials Science, Multidisciplinary
Yanan Sun, Jin Lyu, Jian-Ping Lv
Summary: This study investigates the surface critical behavior at an emergent superfluid-Mott insulator critical point using worm Monte Carlo simulations. The results provide evidence for special transitions and extraordinary-log universality in the system.
Review
Mathematics, Interdisciplinary Applications
Miguel-Angel Martinez Cruz, Julian Patino Ortiz, Miguel Patino Ortiz, Alexander Balankin
Summary: The purpose of this survey is two-fold: first, to survey the studies of percolation on fractal networks in order to assess the current state of the art and highlight the main findings and gaps in understanding; second, to provide guidelines for future research by focusing on the effects of fractal attributes on percolation in self-similar networks and outlining challenging questions.
FRACTAL AND FRACTIONAL
(2023)
Article
Multidisciplinary Sciences
Simone Loreti, Enrico Ser-Giacomi, Andreas Zischg, Margreth Keiler, Marc Barthelemy
Summary: Research shows that floods have affected over 2 billion people globally from 1998 to 2017, with the occurrence expected to increase as a result of climate warming, population growth, and rapid urbanization. Previous studies on the resilience of transportation networks during floods have mainly used the framework of percolation, but this study demonstrates its inadequacy through a realistic high-resolution flood simulation. Instead, a new approach is proposed to partition the road network based on the accessibility of local towns and define new measures to characterize the impact of flooding. This analysis helps to identify key cities that provide critical services to a large number of individuals during floods, aiding practical risk management and resource allocation decisions.
SCIENTIFIC REPORTS
(2022)
Article
Chemistry, Physical
Barnabas Horvath, Sandor Guba, Diana Balogh, Miklos Jakab, Istvan Szalai
Summary: This study investigates the influence of filler concentration on the field-induced deformation of disc-shaped electrorheological elastomers (EREs) with barium titanate filler. It was found that above the percolation threshold concentration, the magnitude of the reversible contraction was enhanced by a factor of 10 in the low field strength region. However, at higher field strength, percolation had no effect on the induced strain, which saturated at around 1.2% regardless of particle concentration. It was also shown that for isotropic EREs, the optimal particle loading is slightly above the percolation threshold.
JOURNAL OF MOLECULAR LIQUIDS
(2023)
Article
Mathematics, Interdisciplinary Applications
Gaogao Dong, Yanting Luo, Yangyang Liu, Fan Wang, Huanmei Qin, Andre L. M. Vilela
Summary: A network of networks is an important class of real coupled networks that portrays the interdependence and coexistence between complex systems. This study investigates the percolation behavior of large-scale network systems, a network of networks with different dependency patterns, under intentional attack with limited information. The results show the effects of coupling strength and the number of known nodes on percolation, critical threshold, and critical coupling strength, as well as a new scaling relationship between 1/p(c) and 1/n for different network configurations.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Multidisciplinary Sciences
Gaogao Dong, Fan Wang, Louis M. Shekhtman, Michael M. Danziger, Jingfang Fan, Ruijin Du, Jianguo Liu, Lixin Tian, H. Eugene Stanley, Shlomo Havlin
Summary: The research indicates that in modular networks, an optimal fraction of interconnected nodes exists where the system becomes optimally resilient and is able to withstand more damage. Although the exact location of the optimal fraction varies based on the coupling patterns, there exists such an optimal point for all coupling patterns.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Physics, Multidisciplinary
Henning Reinken, Sebastian Heidenreich, Markus Baer, Sabine H. L. Klapp
Summary: Turbulent vortex structures in bacterial active fluids can form regular vortex lattices under weak geometrical constraints, exhibiting features of a continuous second-order equilibrium phase transition.
PHYSICAL REVIEW LETTERS
(2022)
Article
Physics, Mathematical
Riddhipratim Basu, Ofer Busani, Patrik L. Ferrari
Summary: This article studies the decay of covariance in the Airy(1) process, A(1), and determines its leading order term in the exponent. The proof combines probabilistic techniques and integrable probability estimates, with the upper bound utilizing the connection to planar exponential last passage percolation and the lower bound primarily using analytic methods and Fredholm determinant expressions.
COMMUNICATIONS IN MATHEMATICAL PHYSICS
(2023)
Article
Engineering, Industrial
Yasser Almoghathawi, Shokri Selim, Kash Barker
Summary: This paper addresses the restoration of interdependent networks from a community structures perspective, and develops an optimization model to enhance the resilience of infrastructure networks.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Business, Finance
Gang-Jin Wang, Shuyue Yi, Chi Xie, H. Eugene Stanley
Summary: Researchers propose multilayer information spillover networks to measure interconnectedness of financial institutions, finding unique features that cannot be detected in single-layer networks. Dynamic topological features of multilayer networks show significant changes before financial stress, such as during the European sovereign debt crisis and the 2015-2016 Chinese stock market turbulence.
QUANTITATIVE FINANCE
(2021)
Article
Public, Environmental & Occupational Health
Stavros K. Stavroglou, Bilal M. Ayyub, Vasileios Kallinterakis, Athanasios A. Pantelous, H. Eugene Stanley
Summary: This article introduces a risk-based decision-making methodology to assist policymakers in taking timely action during major disasters. By analyzing data, it uncovers causal relationships between variables, providing decision support for policymakers.
Article
Automation & Control Systems
Chao-Yang Chen, Feng Liu, Lianghong Wu, Huaicheng Yan, Weihua Gui, Harry Eugene Stanley
Summary: This article investigates the performance limitations of a class of networked control systems, finding that the multiplicity of NMP zeros and unstable poles can affect the tracking performance. A quantitative relationship for tracking performance limitations is derived based on statistical characteristics. Additionally, a minimum signal-to-noise ratio is obtained using a 2DOF controller structure for the tracking system.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Multidisciplinary Sciences
Gaogao Dong, Fan Wang, Louis M. Shekhtman, Michael M. Danziger, Jingfang Fan, Ruijin Du, Jianguo Liu, Lixin Tian, H. Eugene Stanley, Shlomo Havlin
Summary: The research indicates that in modular networks, an optimal fraction of interconnected nodes exists where the system becomes optimally resilient and is able to withstand more damage. Although the exact location of the optimal fraction varies based on the coupling patterns, there exists such an optimal point for all coupling patterns.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Letter
Gastroenterology & Hepatology
Louis Shekhtman, Scott J. Cotler, Alexander Ploss, Harel Dahari
JOURNAL OF HEPATOLOGY
(2022)
Article
Biology
Louis Shekhtman, Miquel Navasa, Natasha Sansone, Gonzalo Crespo, Gitanjali Subramanya, Tje Lin Chung, E. Fabian Cardozo-Ojeda, Sofia Perez-del-Pulgar, Alan S. Perelson, Scott J. Cotler, Xavier Forns, Susan L. Uprichard, Harel Dahari
Summary: This study found that the liver plays a major role in the clearance of circulating HCV, with hepatocytes potentially involved. Through analysis of dynamic data and mathematical modeling from liver transplant patients, the process of HCV clearance was investigated.
Article
Multidisciplinary Sciences
Yang Ye, Qingpeng Zhang, Zhidong Cao, Frank Youhua Chen, Houmin Yan, H. Eugene Stanley, Daniel Dajun Zeng
Summary: The surge in demand for personal protective equipment (PPE) caused by the COVID-19 pandemic has led to global shortages, export restrictions, and shortage contagions in the global PPE trade network. The export restrictions play a critical role in determining the shortage contagion pattern, causing shortages to spread faster than the disease itself. Global cooperation and efforts are essential to prevent PPE shortages, while actions to reduce supply chain barriers and increase global PPE production are also necessary.
ADVANCED THEORY AND SIMULATIONS
(2022)
Editorial Material
Physics, Multidisciplinary
Ryszard Kutner, Christophe Schinckus, Harry Eugene Stanley
Article
Computer Science, Hardware & Architecture
Soroush Aalibagi, Hamidreza Mahyar, Ali Movaghar, H. Eugene Stanley
Summary: This article proposes a novel trust management mechanism for predicting the most reliable service providers in the Social Internet of Things (SIoT), reducing the risk of malicious nodes. The mechanism uses a flexible bipartite graph and a social network with nodes' centrality and similarity measures to extract trust behaviors. A matrix factorization technique is employed to mitigate data sparsity and cold start problems. Experimental results demonstrate the effectiveness of the proposed mechanism in predicting reliable service providers and its resilience to network attacks.
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING
(2022)
Meeting Abstract
Gastroenterology & Hepatology
Louis Shekhtman, Harel Dahari, Scott Cotler, Elisabetta Degasperi, Maria Paola Anolli, Sara Colonia Uceda Renteria, Dana Sambarino, Marta Borghi, Riccardo Perbellini, Floriana Facchetti, Ferruccio Ceriotti, Pietro Lampertico
JOURNAL OF HEPATOLOGY
(2022)
Meeting Abstract
Gastroenterology & Hepatology
Leeor Hershkovich, Louis Shekhtman, Michel Bazinet, Mark Anderson, Mary Kuhns, Gavin Cloherty, Scott Cotler, Andrew Vaillant, Harel Dahari
JOURNAL OF HEPATOLOGY
(2022)
Meeting Abstract
Gastroenterology & Hepatology
Leeor Hershkovich, Louis Shekhtman, Michel Bazinet, Victor Pantea, Gheorge Placinta, Iruie Moscalu, Valentin Cebotarescu, Lilia Cojuhari, Pavlina Jimbei, Liviu Iarovoi, Valentina Smesnoi, Tatiana Musteata, Alina Jucov, Scott Cotler, Andrew Vaillant, Harel Dahari
JOURNAL OF HEPATOLOGY
(2021)
Article
Computer Science, Information Systems
Louis Shekhtman, Erez Waisbard
Summary: This paper introduces a tamper-resistant log system based on blockchain technology, utilizing immutable write actions and distributed storage to develop a secure log system, with the addition of a privacy-preserving layer. Detailed discussions on security and privacy aspects of the solution, and how they relate to performance needs in relevant environments are provided. Finally, the implementation of the system over Hyperledger Fabric demonstrates its value in multiple use cases, along with scalability analysis for large-scale systems.
Article
Computer Science, Information Systems
Ruiqi Li, Lingyun Lu, Tianyu Cui, Weiwei Gu, Shaodong Ma, Gang Xu, H. Eugene Stanley
Summary: This study reveals a clear nonlinear scaling relationship between venture capital activities and urban population in Chinese cities. Different sized cities exhibit varying fluctuations and growth trends in venture capital activities, indicating distinct dynamics and development modes within urban agglomeration regions.
Article
Computer Science, Information Systems
Qian Liu, Xinqi Zheng, H. Eugene Stanley, Fei Xiao, Wenchao Liu
Summary: This study proposes an analytical framework based on co-clustering to reveal mobility patterns in both spatial and temporal dimensions. By applying this framework to taxi GPS data in Manhattan, researchers successfully explored spatio-temporal co-occurrence patterns and compared mobility differences between weekdays and holidays.