Article
Mathematics, Interdisciplinary Applications
Antonio Palacios, Francesco Sorrentino, Amirhossein Nazerian, Visarath In
Summary: This manuscript investigates the existence and stability of collective patterns in symmetric networks with parameter mismatches using the mechanisms of spontaneous symmetry-breaking bifurcation and forced symmetry-breaking. By treating the parameters as state variables and performing center manifold reductions, the impact of parameter disorder on bifurcation points and stability properties is analyzed. Theoretical results are supported by numerical simulations.
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
(2023)
Article
Physics, Multidisciplinary
Liang'an Huo, Bingjie Wu
Summary: This paper investigates the influence of information diffusion and vaccination behavior on disease transmission through a coupling model. The study shows that information diffusion does not directly affect disease prevalence thresholds but affects the proportion of infected individuals. On the other hand, vaccination behavior has a significant impact on disease prevalence thresholds and also affects the proportion of infected individuals. The results suggest that strong diffusion of positive information and high vaccination rates have a positive influence on controlling disease transmission within a controllable range.
Article
Physics, Applied
S. Foteinopoulou
Summary: Transmission asymmetry in reciprocal systems can be achieved with a linear all-dielectric metagrating that lacks inversion symmetry along the surface-normal direction. The emergence of any higher-order Bragg diffracted beam is the only necessary condition for transmission symmetry breaking in this system. The proposed metagrating exhibits strong transmission asymmetry, making it a potential blueprint for passive asymmetric or nonlinear self-biasing nonreciprocal metasurfaces.
PHYSICAL REVIEW APPLIED
(2022)
Article
Physics, Multidisciplinary
Albert E. Parker, Alexander G. Dimitrov
Summary: This paper investigates the bifurcations of solutions to a class of degenerate constrained optimization problems inspired by the Information Bottleneck and Information Distortion problems. The study reveals that the dynamical system related to the Information Bottleneck problem has an additional spurious symmetry that requires more challenging analysis of the symmetry-breaking bifurcation.
Article
Engineering, Mechanical
Bing Wang, Min Gou, Yuexing Han
Summary: The study examines the interaction between epidemic and information transmission over separate migration routes. Information transmission has a limited impact on suppressing the epidemic, and further increase in transmission rate beyond a critical value does not affect the epidemic. Individual migration routes and frequencies play a crucial role in information transmission and epidemic spread, while the initial population distribution is also a fundamental factor influencing epidemic dynamics.
NONLINEAR DYNAMICS
(2021)
Article
Multidisciplinary Sciences
Anuj Tiwari, Santosh Devasia, James J. Riley
Summary: This paper presents a method for low-distortion information propagation in swarm-type networks, which uses delayed self-reinforcement by agents to achieve wave-like information propagation and suppress high-frequency noise transmission.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2023)
Article
Computer Science, Information Systems
Qinbao Xu, Changda Wang
Summary: The article introduces a data provenance scheme based on multigranularity graphs and stepwise refinement, which can effectively improve the efficiency of data trustworthiness evaluation.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Mathematics, Applied
Yuexia Zhang, Dawei Pan
Summary: In this study, a layered SIRS information transmission model was proposed to analyze information spread in networks. The model stratifies nodes based on influence and establishes intra- and inter-layer transmission mechanisms. The theoretical analysis of transmission threshold and equilibrium point were conducted, along with the design of two information transmission interference strategies, information blocking and information dredging, to effectively inhibit information spread.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Mathematics, Interdisciplinary Applications
Fuzhong Nian, Yuanlin Cui, Yang Yang, Xingyuan Wang
Summary: This paper investigates the structure of social networks from a fractal perspective and builds a fractal network from online social networks. Inspired by the flock effect, it studies the characteristics of separation, cohesion, and alignment in information propagation based on the inherent granularity structure of fractal communities. A new S2I propagation model is proposed, which divides communicators into two states and analyzes the information propagation process and characteristics using this model. The effectiveness of the S2I model is verified through comparative experiments of simulation and real data analysis.
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2022)
Article
Multidisciplinary Sciences
Fulian Yin, Xueying Shao, Biao Tang, Xinyu Xia, Jianhong Wu
Summary: This study introduces a model to describe the dynamics of co-propagation, focusing on cross-transmission effects, and uses real data from Chinese Sina-microblog for parameter fitting and sensitivity analysis, providing recommendations for designing effective communication strategies.
SCIENTIFIC REPORTS
(2021)
Article
Physics, Mathematical
Linda Albanese, Francesco Alemanno, Andrea Alessandrelli, Adriano Barra
Summary: Understanding the glassy nature of neural networks is crucial for advancements in Machine Learning and Theoretical Artificial Intelligence. This paper focuses on dense associative Hebbian neural networks and develops mathematical approaches to address the phenomenon of replica symmetry breaking, allowing for a deeper insight into the glassiness they exhibit. The findings reveal a significant diversity in the underlying glassiness of these networks, particularly in comparison to traditional pairwise Hopfield models.
JOURNAL OF STATISTICAL PHYSICS
(2022)
Article
Multidisciplinary Sciences
Abu Zobayer, Mohammad Sharif Ullah, K. M. Ariful Kabir
Summary: Evolutionary epidemiological models have been used to analyze contagious diseases and intervention policies in biology. The SVITR epidemic dynamic model is developed by adding compartments for treatment and vaccination. The study considers the rates at which infected individuals enter the treatment and recover state, and uses evolutionary game theory to investigate the rate of change from susceptible to vaccinated and infected to treatment. Numerical simulation suggests that effective vaccination and treatment can reduce the community risk of infection.
SCIENTIFIC REPORTS
(2023)
Article
Physics, Multidisciplinary
Aline Viol, Vesna Vuksanovic, Philipp Hoevel
Summary: The study introduces a novel quantity based on information theory called information parity to evaluate the consonance of influence among nodes in networked systems. By evaluating social networks and human brain networks, it shows the potential of information parity in detecting emerging phenomena and identifying central network regions.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Mathematics
Ivan Arraut, Joao Alexandre Lobo Marques, Sergio Gomes
Summary: This paper discusses the spontaneous symmetry breaking phenomena in Quantum Finance, analyzing the relationship between martingale states and effective symmetry breaking patterns, and providing powerful tools for analyzing the dynamics of stock markets.
Article
Chemistry, Multidisciplinary
Lin Zhang, Kan Li, Jiamou Liu
Summary: The complexity of information diffusion on online social networks varies with different topics and spreading processes. The Information Diffusion Model, based on Explosion Shock Wave Theory, takes into account individual differences, social behaviors, and community effects. Experimental results demonstrate several strengths of the proposed model in realistically modeling information propagation on OSNs.
APPLIED SCIENCES-BASEL
(2021)
Article
Mathematics, Interdisciplinary Applications
K. M. Ariful Kabir, Jun Tanimoto
CHAOS SOLITONS & FRACTALS
(2019)
Article
Mathematics, Applied
K. M. Ariful Kabir, Jun Tanimoto
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2019)
Article
Construction & Building Technology
C. Hirose, N. Ikegaya, A. Hagishima, J. Tanimoto
BUILDING AND ENVIRONMENT
(2019)
Article
Mathematics, Interdisciplinary Applications
Muntasir Alam, Masaki Tanaka, Jun Tanimoto
CHAOS SOLITONS & FRACTALS
(2019)
Article
Mathematics, Applied
K. M. Ariful Kabir, Jun Tanimoto
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2019)
Article
Thermodynamics
Ajaya Ketan Nayak, Aya Hagishima, Jun Tanimoto
APPLIED THERMAL ENGINEERING
(2020)
Article
Mathematics, Interdisciplinary Applications
K. M. Ariful Kabir, Kazuki Kuga, Jun Tanimoto
CHAOS SOLITONS & FRACTALS
(2020)
Article
Biology
Masaki Tanaka, Jun Tanimoto
JOURNAL OF THEORETICAL BIOLOGY
(2020)
Article
Mathematics, Applied
Yoshiro Iwamura, Keisuke Nagashima, Jun Tanimoto
APPLIED MATHEMATICS AND COMPUTATION
(2020)
Article
Biotechnology & Applied Microbiology
K. M. Ariful Kabir, Aya Hagishima, Jun Tanimoto
Summary: Bangladesh has faced a serious situation with a surge in dengue fever cases in 2019, highlighting a significant demand for low-priced dengue vaccines among the population. The study revealed that people are willing to pay a certain amount for hypothetical dengue vaccines, indicating a need for the government and private sector to work together in developing reliable and affordable dengue vaccines.
HUMAN VACCINES & IMMUNOTHERAPEUTICS
(2021)
Article
Mathematics, Applied
Md. Mamun-Ur-Rashid Khan, Md. Rajib Arefin, Jun Tanimoto
Summary: During a pandemic like COVID-19, self-quarantine, mask-wearing, hygiene maintenance, isolation, forced quarantine, and social distancing are effective nonpharmaceutical measures. This study proposes an epidemiological model based on SEIR dynamics and human behavior dynamics of self-quarantine and forced quarantine. Results show that forced quarantine is more influential in reducing disease prevalence and social efficiency deficit.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Mathematics, Applied
Yuichi Tatsukawa, Md Rajib Arefin, Shinobu Utsumi, Kazuki Kuga, Jun Tanimoto
Summary: COVID-19 has highlighted the importance of accurately predicting disease spread from a social perspective. This study systematically investigates the stochastic features of epidemic spreading on homogeneous and heterogeneous networks. The results show that strong microscopic locality in regular graphs leads to wide stochastic deviations in the final epidemic size (FES), while heterogeneous networks show less stochastic variations in FES. These findings have important implications for authorities in designing social provisions to mitigate the impact of infectious diseases like COVID-19.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Architecture
Ryosuke Fukami, Aya Hagishima, Jun Tanimoto, Naoki Ikegaya
Summary: Occupants' behaviors towards air conditioning usage in residential buildings have a significant impact on load profiles. This study analyzed the AC operation behavior in 20 dwellings in Japan during summer and proposed a revised algorithm to synthesize AC operation schedules based on the observed behaviors. The validity of the algorithm was demonstrated through comparison with metered data.
JAPAN ARCHITECTURAL REVIEW
(2022)
Article
Mathematics, Applied
Junfeng Fan, Dawei Zhao, Chengyi Xia, Jun Tanimoto
Summary: The way information spreads among individuals is complex and influenced by multiple channels. Higher-order structures in social networks, such as simplicial complexes and hypergraphs, can better capture realistic phenomena. In this study, we propose a novel epidemic model that combines infectious disease and information diffusion, using a multiplex network model with random simplicial complexes generating the online social network. We analyze the impact of threshold models on epidemic spread and validate the results through simulations.
Article
Physics, Fluids & Plasmas
K. M. Ariful Kabir, Marko Jusup, Jun Tanimoto
Article
Mathematics, Interdisciplinary Applications
Bo Li, Tian Huang
Summary: This paper proposes an approximate optimal strategy based on a piecewise parameterization and optimization (PPAO) method for solving optimization problems in stochastic control systems. The method obtains a piecewise parameter control by solving first-order differential equations, which simplifies the control form and ensures a small model error.
CHAOS SOLITONS & FRACTALS
(2024)
Article
Mathematics, Interdisciplinary Applications
Guram Mikaberidze, Sayantan Nag Chowdhury, Alan Hastings, Raissa M. D'Souza
Summary: This study explores the collective behavior of interacting entities, focusing on the co-evolution of diverse mobile agents in a heterogeneous environment network. Increasing agent density, introducing heterogeneity, and designing the network structure intelligently can promote agent cohesion.
CHAOS SOLITONS & FRACTALS
(2024)
Article
Mathematics, Interdisciplinary Applications
Gengxiang Wang, Yang Liu, Caishan Liu
Summary: This investigation studies the impact behavior of a contact body in a fluidic environment. A dissipated coefficient is introduced to describe the energy dissipation caused by hydrodynamic forces. A new fluid damping factor is derived to depict the coupling between liquid and solid, as well as the coupling between solid and solid. A new coefficient of restitution (CoR) is proposed to determine the actual physical impact. A new contact force model with a fluid damping factor tailored for immersed collision events is proposed.
CHAOS SOLITONS & FRACTALS
(2024)