Reducing redundant information to find simplifying patterns in data sets and complex networks is a scientific challenge in many knowledge fields. Moreover, detecting the dimensionality of the data is ...

Complex networks, ranging from biological systems to technological and social infrastructures, have long intrigued researchers with their intricate connectivity and emergent behaviours. Recent ...

Distance geometry provides a mathematical framework for reconstructing spatial structures by leveraging inter-point distances as constraints. Originally developed for molecular conformation, it has ...