Signal propagation in complex networks drives epidemics, is responsible for information
going viral, promotes trust and facilitates moral behavior in social groups, enables 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 …

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 …

Networks are ubiquitous in science and have become a focal point for discussion in
everyday life. Formal statistical models for the analysis of network data have emerged as a …

A book that challenges everything you thought you knew about the online economy The
internet was supposed to fragment audiences and make media monopolies impossible …

There is a long tradition of using mathematical models to generate insights into the
transmission dynamics of infectious diseases and assess the potential impact of different …

Network modeling plays a critical role in identifying statistical regularities and structural
principles common to many systems. The large majority of recent modeling approaches are …

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 …

The use of social and contact networks to answer basic and applied questions about
infectious disease transmission in wildlife and livestock is receiving increased attention …

The problem of reconstructing nonlinear and complex dynamical systems from measured
data or time series is central to many scientific disciplines including physical, biological …