For more than a century, the methods for data representation and the exploration of the
intrinsic structures of data have developed remarkably and consist of supervised and …

We address a fundamental issue of collective motion of aerial robots: how to ensure that
large flocks of autonomous drones seamlessly navigate in confined spaces. The numerous …

Network dynamical systems are often characterized by the interlaced evolution of the node
and edge dynamics, which are driven by both deterministic and stochastic factors. This …

Most studies of collective animal behaviour rely on short-term observations, and
comparisons of collective behaviour across different species and contexts are rare. We …

Phenological shifts across plant species is a powerful indicator to quantify the effects of
climate change. Today, mobile applications with automated species identification open new …

Synchronization of human networks is fundamental in many aspects of human endeavour.
Recently, much research effort has been spent on analyzing how motor coordination …

Responding towards the actions of others is one of the most important behavioural traits
whenever animals of the same species interact. Mutual influences among interacting …

The topological structures of complex networks play a crucial role in determining their
evolutionary mechanisms and functional behaviors, and may have significant consequences …

Animals typically forage in groups. Social foraging can help animals avoid predation and
decrease their uncertainty about the richness of food resources. Despite this, theoretical …

In this work, we aim to construct a new behavior analysis method by using machine learning.
We used two cameras to capture three-dimensional (3D) tracking data of zebrafish, which …