The global spread of epidemics, rumors, opinions, and innovations are complex, network-driven
dynamic processes. The combined multiscale nature and intrinsic heterogeneity of the …

The dynamic spatial redistribution of individuals is a key driving force of various spatiotemporal
phenomena on geographical scales. It can synchronize populations of interacting species…

In the wake of the COVID-19 pandemic many countries implemented containment measures
to reduce disease transmission. Studies using digital data sources show that the mobility of …

The recent outbreak of coronavirus disease 2019 (COVID-19) in mainland China was
characterized by a distinctive subexponential increase of confirmed cases during the early phase …

We investigate a model for spatial epidemics explicitly taking into account bidirectional
movements between base and destination locations on individual mobility networks. We provide …

We discuss models and data of crowd disasters, crime, terrorism, war and disease spreading
to show that conventional recipes, such as deterrence strategies, are often not effective and …

The rapid worldwide spread of severe acute respiratory syndrome demonstrated the potential
threat an infectious disease poses in a closely interconnected and interdependent world. …

We show that the recently introduced logarithmic metrics used to predict disease arrival
times on complex networks are approximations of more general network-based measures …

Information on global human movement patterns is central to spatial epidemiological models
used to predict the behavior of influenza and other infectious diseases. Yet it remains …

Territorial subdivisions and geographic borders are essential for understanding phenomena
in sociology, political science, history, and economics. They influence the interregional flow …