Recent years have witnessed an explosion of extensive geolocated datasets related to
human movement, enabling scientists to quantitatively study individual and collective …

Although the vast majority of high-T c cuprate superconductors are hole-doped, a small
family of electron-doped compounds exists. Underinvestigated until recently, there has been …

The evolution of the opinion of an agent is often uncertain in social networks, especially
when they have to communicate with agents holding opposing opinions on a certain topic. In …

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 …

Human crowds often bear a striking resemblance to interacting particle systems, and this
has prompted many researchers to describe pedestrian dynamics in terms of interaction …

With the increasing size and frequency of mass events, the study of crowd disasters and the
simulation of pedestrian flows have become important research areas. However, even …

Human crowd motion is mainly driven by self-organized processes based on local
interactions among pedestrians. While most studies of crowd behaviour consider only …

In this paper we introduce a novel method to detect and localize abnormal behaviors in
crowd videos using Social Force model. For this purpose, a grid of particles is placed over …

Background The transmission of infectious diseases is dependent on the amount and nature
of contacts between infectious and healthy individuals. Confined and crowded environments …

Each year, crowd disasters happen in different areas of the world. How and why do such
disasters happen? Are the fatalities caused by relentless behavior of people or a …