Human social interactions in local settings can be experimentally detected by recording the
physical proximity and orientation of people. Such interactions, approximating face-to-face …

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 …

Instagram has been increasingly used as a source of information especially among the
youth. As a result, political figures now leverage the platform to spread opinions and political …

Collective user behavior in social media applications often drives several important online
and offline phenomena linked to the spread of opinions and information. Several studies …

Identifying the hidden organizational principles and relevant structures of complex networks
is fundamental to understand their properties. To this end, uncovering the structures …

Opinion polarization is on the rise, causing concerns for the openness of public debates.
Additionally, extreme opinions on different topics often show significant correlations. The …

Networks are well-established representations of social systems, and temporal networks are
widely used to study their dynamics. However, going from temporal network data (ie a …

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

Weight thresholding is a simple technique that aims at reducing the number of edges in
weighted networks that are otherwise too dense for the application of standard graph …

Proximity social interactions are crucial for infectious diseases transmission. Crowded
agglomerations pose serious risk of triggering superspreading events. Locations like …