In the last two decades, network science has blossomed and influenced various fields, such
as statistical physics, computer science, biology and sociology, from the perspective of the …

In recent years the research community has accumulated overwhelming evidence for the
emergence of complex and heterogeneous connectivity patterns in a wide range of …

The dynamics and influence of fake news on Twitter during the 2016 US presidential
election remains to be clarified. Here, we use a dataset of 171 million tweets in the five …

The basic reproduction number is one of the conceptual cornerstones of mathematical
epidemiology. Its classical definition as the number of secondary cases generated by a …

The propagations of diseases, behaviors and information in real systems are rarely
independent of each other, but they are coevolving with strong interactions. To uncover the …

A great variety of systems in nature, society and technology–from the web of sexual contacts
to the Internet, from the nervous system to power grids–can be modeled as graphs of …

Abstract Models of epidemic spreading on complex networks have attracted great attention
among researchers in physics, mathematics, and epidemiology due to their success in …

Node characteristics and behaviors are often correlated with the structure of social networks
over time. While evidence of this type of assortative mixing and temporal clustering of …

The availability of large data sets has allowed researchers to uncover complex properties
such as large-scale fluctuations and heterogeneities in many networks, leading to the …

In recent years the increasing availability of computer power and informatics tools has
enabled the gathering of reliable data quantifying the complexity of socio-technical systems …