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 …

In this paper, we review some advances made recently in the study of mobile phone
datasets. This area of research has emerged a decade ago, with the increasing availability …

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 …

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 …

Abstract Massive Open Online Courses (MOOCs) bring together a global crowd of
thousands of learners for several weeks or months. In theory, the openness and scale of …

Relatedness is a quantification of how much two human activities are similar in terms of the
inputs and contexts needed for their development. Under the idea that it is easier to move …

Motifs are the fundamental components of complex systems. The topological structure of
networks representing complex systems and the frequency and distribution of motifs in these …

The recent global financial crisis has triggered a huge interest in the use of network
concepts and network tools to better understand how instabilities can propagate through the …

Monopartite projections of bipartite networks are useful tools for modeling indirect
interactions in complex systems. The standard approach to identify significant links is …