Abstract Nowadays, Social Media are a privileged channel for news spreading, information
exchange, and fact checking. Unexpectedly for many users, automated accounts, known as …

The COVID-19 pandemic has impacted on every human activity and, because of the
urgency of finding the proper responses to such an unprecedented emergency, it generated …

Recent crises have shown that the knowledge of the structure of input–output networks, at
the firm level, is crucial when studying economic resilience from the microscopic point of …

According to the Eurobarometer report about EU media use of May 2018, the number of
European citizens who consult on-line social networks for accessing information is …

Complex networks datasets often come with the problem of missing information: interactions
data that have not been measured or discovered, may be affected by errors, or are simply …

The geographic dispersion and size distribution of cities seem, at first glance, to exhibit a
random pattern. Clearly, physical geography, geo-political history and climatology shape …

Empirical networks often exhibit different meso-scale structures, such as community and
core–periphery structures. Core–periphery structure typically consists of a well-connected …

Recently proposed computational techniques allow the application of various maximum
entropy network models at a larger scale. We focus on disinformation campaigns and apply …

The World Trade Web (WTW) is the network of international trade relationships among world
countries. Characterizing both the local link weights (observed trade volumes) and the …

Detecting the presence of mesoscale structures in complex networks is of primary
importance. This is especially true for financial networks, whose structural organization …