A5086073834- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Evolutionary Game Theory and Cooperation
- Neural dynamics and brain function
- Mental Health Research Topics
- Functional Brain Connectivity Studies
- Coronary Interventions and Diagnostics
- Evolution and Genetic Dynamics
- Experimental Behavioral Economics Studies
- COVID-19 epidemiological studies
- Game Theory and Applications
- Mathematical and Theoretical Epidemiology and Ecology Models
- Cardiac Imaging and Diagnostics
- Plant and animal studies
- stochastic dynamics and bifurcation
- Nonlinear Dynamics and Pattern Formation
- Insect and Arachnid Ecology and Behavior
- Advanced Memory and Neural Computing
- Gene Regulatory Network Analysis
- EEG and Brain-Computer Interfaces
- Lipoproteins and Cardiovascular Health
- Neural Networks and Applications
- Vascular Procedures and Complications
- Acute Myocardial Infarction Research
- Social Media and Politics
University at Buffalo, State University of New York
2016-2025
Kobe University
2023-2025
Hakodate Central General Hospital
2017-2025
Saga University
2024-2025
University of Bristol
2014-2024
Tokyo Denki University
2022-2024
The University of Tokyo
2008-2023
Waseda University
2020-2023
Idemitsu Kosan (Japan)
2023
Google (United States)
2023
Random walks are ubiquitous in the sciences, and they interesting from both theoretical practical perspectives. They one of most fundamental types stochastic processes; can be used to model numerous phenomena, including diffusion, interactions, opinions among humans animals; extract information about important entities or dense groups a network. have been studied for many decades on regular lattices (especially last couple decades) networks with variety structures. In present article, we...
Many kinds of chaotic cryptosystems have been proposed. Chaotic systems dissipate information due to orbital instability with positive Lyapunov exponents and ergodicity. If these properties are appropriately utilized, supposed realize high security. However, most the existing secure communication techniques using chaos do not enough For example, protocols based on synchronization require robustness which gives useful attackers. The direct applications maps weak against linear differential...
Infectious diseases can be considered to spread over social networks of people or animals. Mainly owing the development data recording and analysis techniques, an increasing amount contact with time stamps has been collected in last decade. Such temporal capture dynamics on a timescale relevant epidemic spreading potentially lead better ways analyze, forecast, prevent epidemics. However, they also call for extended tools network epidemiology, which has, date, mostly viewed as static...
Real social interactions occur on networks in which each individual is connected to some, but not all, of others. In dilemma games with a fixed population size, heterogeneity the number contacts per player known promote evolution cooperation. Under common assumption positively biased pay-off structure, well-connected players earn much by playing frequently, and cooperation once adopted unbeatable spreads However, maintaining contact can be costly, would prevent local pay-offs from being...
Interactions among units in complex systems occur a specific sequential order, thus affecting the flow of information, propagation diseases, and general dynamical processes. We investigate Laplacian spectrum temporal networks compare it with that corresponding aggregate network. First, we show ensemble average network has identical eigenmodes but smaller eigenvalues than networks. In large without edge condensation, expected dynamics is time-rescaled version dynamics. Even for single...
The resting-state human brain networks underlie fundamental cognitive functions and consist of complex interactions among regions. However, the level complexity has not been quantified, which prevented comprehensive descriptions activity as an integrative system. Here, we address this issue by demonstrating that a pairwise maximum entropy model, takes into account region-specific rates interactions, can be robustly accurately fitted to activities obtained functional magnetic resonance...
How long neural information is stored in a local brain area reflects functions of that region and often estimated by the magnitude autocorrelation intrinsic signals area. Here, we investigated such timescales high-functioning adults with autism examined whether dynamics reflected their atypical behaviours. By analysing resting-state fMRI data, identified shorter sensory/visual cortices longer timescale right caudate autism. The areas were correlated severity autism, whereas was associated...
<h3>Objective:</h3> We aimed to analyze the clinical and histopathologic features of cancer-associated myositis (CAM) in relation anti–transcriptional intermediary factor 1 γ antibody (anti-TIF1-γ-Ab), a marker cancer association. <h3>Methods:</h3> retrospectively studied 349 patients with idiopathic inflammatory myopathies (IIMs), including 284 pretreatment biopsy samples available. For classification IIMs, European Neuromuscular Center criteria were applied. Patients CAM (anti-TIF1-γ-Ab[+]...
Abstract Individual differences in the structure of parietal and prefrontal cortex predict stability bistable visual perception. However, mechanisms linking such individual brain structures to behaviour remain elusive. Here we demonstrate a systematic relationship between dynamics activity, cortical underpinning Using fMRI humans, find that activity during perception are well described as fluctuating three spatially distributed energy minimums: visual-area-dominant, frontal-area-dominant...
Records of social interactions provide us with new sources data for understanding how interaction patterns affect collective dynamics. Such human activity are often bursty, i.e., they consist short periods intense followed by long silence. This burstiness has been shown to spreading phenomena; it accelerates epidemic in some cases and slows down other cases. We investigate a model history-dependent contagion. In our model, repeated between susceptible infected individuals period time is...
Graph theory is a useful tool for deciphering structural and functional networks of the brain on various spatial temporal scales. The clustering coefficient quantifies abundance connected triangles in network major descriptive statistics networks. For example, it finds an application assessment small-worldness networks, which affected by attentional cognitive conditions, age, psychiatric disorders so forth. However, remains unclear how should be measured correlation-based network, among...
We introduce the heterogeneous voter model (HVM), in which each agent has its own intrinsic rate to change state, reflective of heterogeneity real people, and partisan (PVM), an innate fixed preference for one two possible opinion states. For HVM, time until consensus is reached much longer than classic model. PVM mean-field limit, a population evolves preference-based where tends be aligned with internal preference. finite populations, discrete fluctuations ultimately lead being that scales...
Digital chaotic ciphers have been investigated for more than a decade. However, their overall performance in terms of the tradeoff between security and speed, as well connection chaos cryptography, has not sufficiently addressed. We propose Feistel cipher uniform cipher. Our plan is to examine crypto components from both dynamical-system cryptographical points view, thus explore these two fields. In due course, we also apply dynamical system theory create cryptographically secure...
During rest, the human brain performs essential functions such as memory maintenance, which are associated with resting-state networks (RSNs) including default-mode network (DMN) and frontoparietal (FPN). Previous studies based on spiking-neuron models their reduced models, well those imaging data, suggest that activity can be captured attractor dynamics, i.e., dynamics of state toward an attractive transitions between different attractors. Here, we analyze energy landscapes RSNs by applying...
The basic reproduction number R0 -- the of individuals directly infected by an infectious person in otherwise susceptible population is arguably most widely used estimator how severe epidemic outbreak can be. This severity be more measured as fraction people once over, {\Omega}. In traditional mathematical epidemiology and common formulations static network epidemiology, there a deterministic relationship between However, if one considers disease spreading on temporal contact where knows...
Recent developments in sensing technologies have enabled us to examine the nature of human social behavior greater detail. By applying an information-theoretic method spatiotemporal data cell-phone locations, [C. Song et al., Science 327, 1018 (2010)] found that mobility patterns are remarkably predictable. Inspired by their work, we address a similar predictability question different kind activity: conversation events. The sequence one's partners is defined as degree which next partner can...
Suicide explains the largest number of death tolls among Japanese adolescents in their twenties and thirties. is also a major cause for many other countries. Although social isolation has been implicated to influence tendency suicidal behavior, impact on suicide context explicit networks individuals scarcely explored. To address this question, we examined large data set obtained from networking service dominant Japan. The network composed friendship ties between pairs users created by mutual...