Multilayer networks have been widely used to represent and analyze systems of
interconnected entities where both the entities and their connections can be of different …

Recent empirical evidence has shown that in many real-world systems, successfully
represented as networks, interactions are not limited to dyads, but often involve three or …

Network science is the field dedicated to the investigation and analysis of complex systems
via their representations as networks. We normally model such networks as graphs: sets of …

The increasing availability of data demands for techniques to filter information in large
complex networks of interactions. A number of approaches have been proposed to extract …

Networks are essential for analyzing complex systems. However, their growing size
necessitates backbone extraction techniques aimed at reducing their size while retaining …

In many data sets, information on the structure and temporality of a system coexists with
noise and non-essential elements. In networked systems for instance, some edges might be …

The Covid-19 pandemic has had a deep impact on the lives of the entire world population,
inducing a participated societal debate. As in other contexts, the debate has been the …

Human flow data are rich behavioral data relevant to people's decision-making regarding
where to live, work, go shopping, etc., and provide vital information for identifying city …

Networks provide useful tools for analysing diverse complex systems from natural, social
and technological domains. Growing size and variety of data such as more nodes and links …

Many complex networked systems exhibit volatile dynamic interactions among their vertices,
whose order and persistence reverberate on the outcome of dynamical processes taking …