181 citations · 270 across the 12 of their papers we have counts for
12 papers
Coevolution of epidemic dynamics and network topology driven by disease fatality and waning immunity
ThankGod I. S. Ikpe, Takayuki Hiraoka, Naoya Fujiwara
Epidemics on complex networks have been shown to exhibit dynamics that are strongly influenced by the topology of the network. However, it remains unclear how the topology of the n…
Directional intermodular coupling enriches functional complexity in biological neuronal networks
Nobuaki Monma, Hideaki Yamamoto, Naoya Fujiwara +4
Hierarchically modular organization is a canonical network topology that is evolutionarily conserved in the nervous systems of animals. Within the network, neurons form directional…
Influence of trip distance and population density on intra-city mobility patterns in Tokyo during COVID-19 pandemic
Kazufumi Tsuboi, Naoya Fujiwara, Ryo Itoh
This study investigates the influence of infection cases of COVID-19 and two non-compulsory lockdowns on human mobility within the Tokyo metropolitan area. Using the data of hourly…
Urban spatial structures from human flow by Hodge-Kodaira decomposition
Takaaki Aoki, Shota Fujishima, Naoya Fujiwara
Human flow in cities indicates social activity and can reveal urban spatial structures based on human behaviours for relevant applications. Scalar potential is a mathematical conce…
Analytical estimation of maximum fraction of infected individuals with one-shot non-pharmaceutical intervention in a hybrid epidemic model
Naoya Fujiwara, Tomokatsu Onaga, Takayuki Wada +4
Facing a global epidemic of new infectious diseases such as COVID-19, non-pharmaceutical interventions (NPIs), which reduce transmission rates without medical actions, are being im…
Non-Compulsory Measures Sufficiently Reduced Human Mobility in Tokyo during the COVID-19 Epidemic
Takahiro Yabe, Kota Tsubouchi, Naoya Fujiwara +3
While large scale mobility data has become a popular tool to monitor the mobility patterns during the COVID-19 pandemic, the impacts of non-compulsory measures in Tokyo, Japan on h…
Universality of population recovery patterns after disasters
Takahiro Yabe, Kota Tsubouchi, Naoya Fujiwara +2
Despite the rising importance of enhancing community resilience to disasters, our understanding on how communities recover from catastrophic events is limited. Here we study the po…
A perturbative approach to Lagrangian flow networks
Naoya Fujiwara, Kathrin Kirchen, Jonathan F. Donges +1
Complex network approaches have been successfully applied for studying transport processes in complex systems ranging from road, railway or airline infrastructure over industrial m…
Contribution of hidden modes to nonlinear epidemic dynamics in urban human proximity networks
Naoya Fujiwara, Abhijeet R. Sonawane, Koji Iwayama +1
Recently developed techniques to acquire high-quality human mobility data allow large-scale simulations of the spread of infectious diseases with high spatial and temporal resoluti…
Smoothing effect for spatially distributed renewable resources and its impact on power grid robustness
Motoki Nagata, Yoshito Hirata, Naoya Fujiwara +3
In this paper, we show that spatial correlation of renewable energy outputs greatly influences the robustness of power grids. First, we propose a new index for the spatial correlat…
Towards dynamical network biomarkers in neuromodulation of episodic migraine
Markus A. Dahlem, Sebastian Rode, Arne May +4
Computational methods have complemented experimental and clinical neursciences and led to improvements in our understanding of the nervous systems in health and disease. In paralle…
Synchronization in networks of mobile oscillators
Naoya Fujiwara, Jürgen Kurths, Albert Díaz-Guilera
We present a model of synchronization in networks of autonomous agents where the topology changes due to agents motion. We introduce two time scales, one for the topological change…