Motile organisms can form stable agglomerates such as cities or colonies. In the outbreak of
a highly contagious disease, the control of large-scale epidemic spread depends on factors …

Higher-order interactions exist widely in mobile populations and are extremely important in
spreading epidemics, such as influenza. However, research on high-order interaction …

Analytical studies of network epidemiology almost exclusively focus on the extreme
situations where the timescales of network dynamics are well separated (longer or shorter) …

This work explores the sub-exponential power-law growth that is observed in human and
animal epidemics, using percolation analysis. Through numerical simulations, it identifies a …

Human behavior strongly influences the spread of infectious diseases: understanding the
interplay between epidemic dynamics and adaptive behaviors is essential to improve …

We present a general framework for incorporating non-reciprocal interactions into the Ising
model with Glauber dynamics, without requiring multiple species. We then focus on a model …

We construct a temporal network using the two-dimensional Vicsek model. The bursts of the
interevent times for a specific pair of particles are investigated numerically. We found that, for …

One of the most notable features in repulsive particle based active matter systems is motility-
induced-phase separation (MIPS) where a dense, often crystalline phase and low density …

Extensive real-data indicate that human motion exhibits novel patterns and has a significant
impact on the epidemic spreading process. The research on the influence of human motion …

The forecasting of the temporal evolution of real-world diseases is systematically performed
via mean-field, compartmental models, such as the SIR model and its various variants. Here …