The power of any kind of network approach lies in the ability to simplify a complex system so
that one can better understand its function as a whole. Sometimes it is beneficial, however …

Historically, infectious diseases caused considerable damage to human societies, and they
continue to do so today. To help reduce their impact, mathematical models of disease …

Echo chambers and opinion polarization recently quantified in several sociopolitical
contexts and across different social media raise concerns on their potential impact on the …

During the ongoing COVID-19 pandemic, mathematical models of epidemic spreading have
emerged as powerful tools to produce valuable predictions of the evolution of the pandemic …

Persistence is an important characteristic of many complex systems in nature, related to how
long the system remains at a certain state before changing to a different one. The study of …

Bursty dynamics is a common temporal property of various complex systems in nature but it
also characterises the dynamics of human actions and interactions. At the …

A time-dependent graph is, informally speaking, a graph structure dynamically changes with
time. In such graphs, the weights associated with edges dynamically change over time, that …

Many complex systems that exhibit temporal nonpairwise interactions can be represented by
means of generative higher-order network models. Here, we propose a hidden variable …

We investigate the effects of modular and temporal connectivity patterns on epidemic
spreading. To this end, we introduce and analytically characterise a model of time-varying …

Money laundering refers to the criminal attempt of concealing the origins of illegally obtained
money, usually by passing it through a complex sequence of seemingly legitimate financial …