Recent decades have seen a rise in the use of physics methods to study different societal
phenomena. This development has been due to physicists venturing outside of their …

Understanding communication and information processing in nervous systems is a central
goal of neuroscience. Over the past two decades, advances in connectomics and network …

In this paper, we discuss consensus problems for networks of dynamic agents with fixed and
switching topologies. We analyze three cases: 1) directed networks with fixed topology; 2) …

Agent-based modeling is a powerful simulation modeling technique that has seen a number
of applications in the last few years, including applications to real-world business problems …

A range of applications, from predicting the spread of human and electronic viruses to city
planning and resource management in mobile communications, depend on our ability to …

In this paper, we present a theoretical framework for design and analysis of distributed
flocking algorithms. Two cases of flocking in free-space and presence of multiple obstacles …

Statistical physics has proven to be a fruitful framework to describe phenomena outside the
realm of traditional physics. Recent years have witnessed an attempt by physicists to study …

Since the subject of traffic dynamics has captured the interest of physicists, many surprising
effects have been revealed and explained. Some of the questions now understood are the …

We introduce a method for generating realistic pedestrian trajectories and full-body
animations that can be controlled to meet user-defined goals. We draw on recent advances …

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