The huge amount of data made available by the massive usage of social media has opened
up the unprecedented possibility to carry out a data-driven study of political processes …

A shift of paradigm is running over online social platforms: the over-centralization of these
platforms is leaving room for decentralized solutions based on blockchain technologies …

Data collected in criminal investigations may suffer from issues like:(i) incompleteness, due
to the covert nature of criminal organizations;(ii) incorrectness, caused by either …

Despite the huge importance that the centrality metrics have in understanding the topology
of a network, too little is known about the effects that small alterations in the topology of the …

COVID-19 has caused millions of infections and deaths over the last 2 years. Machine
learning models have been proposed as an alternative to conventional epidemiologic …

News sharing on social networks reveals how information disseminates among users. This
process, constrained by user preferences and social ties, plays a key role in the formation of …

Previous research shows that teams with diverse backgrounds and skills can outperform
homogeneous teams. However, people often prefer to work with others who are similar and …

This study aims to measure the impact of bedroom privacy on residents' social networks in a
long-term care (LTC) facility for older adults. Little is known about how the architectural …

The Loess Plateau is the largest gully geomorphic region in the world, characterized by the
most intense soil erosion in a typical loess-covered area. Previous studies have focused on …

Summary tRNA-derived ncRNAs are a heterogeneous class of non-coding RNAs recently
proposed to be active regulators of gene expression and be involved in many diseases …