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 …

Many complex systems find a convenient representation in terms of networks: structures
made by pairwise interactions (links) of elements (nodes). For many biological and social …

Representing social systems as networks, starting from the interactions between individuals,
sheds light on the mechanisms governing their dynamics. However, networks encode only …

Many real-world complex systems are characterized by interactions in groups that change in
time. Current temporal network approaches, however, are unable to describe group …

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 …

In this paper, we analyze the dynamics of spreading processes taking place over time-
varying networks. A common approach to model time-varying networks is via Markovian …

The presence of burstiness in temporal social networks, revealed by a power-law form of the
waiting time distribution of consecutive interactions, is expected to produce aging effects in …

Human social interactions tend to vary in intensity over time, whether they are in person or
online. Variable rates of interaction in structured populations can be described by networks …

Motifs, which have been established as building blocks for network structure, move beyond
pair-wise connections to capture longer-range correlations in connections and activity. In …

Most real networks are characterized by connectivity patterns that evolve in time following
complex, non-Markovian, dynamics. Here we investigate the impact of this ubiquitous …