Community detection in networks is one of the most popular topics of modern network
science. Communities, or clusters, are usually groups of vertices having higher probability of …

Networks (or graphs) appear as dominant structures in diverse domains, including
sociology, biology, neuroscience and computer science. In most of the aforementioned …

Social media has been transforming political communication dynamics for over a decade.
Here using nearly a billion tweets, we analyse the change in Twitter's news media …

Circulating tumor DNA (ctDNA) analysis may improve early-stage breast cancer treatment
via non-invasive tumor burden assessment. To investigate subtype-specific differences in …

Community detection is often used to understand the structure of large and complex
networks. One of the most popular algorithms for uncovering community structure is the so …

Growing up on a farm is associated with an asthma-protective effect, but the mechanisms
underlying this effect are largely unknown. In the Protection against Allergy: Study in Rural …

Motivation Estimating microbial association networks from high-throughput sequencing data
is a common exploratory data analysis approach aiming at understanding the complex …

Performing an accurate clustering analysis is of great significance for us to understand the
behavior of complex networks, and a variety of graph clustering algorithms have, thus, been …

Many human languages have words for emotions such as “anger” and “fear,” yet it is not
clear whether these emotions have similar meanings across languages, or why their …

The COVID-19 pandemic and its social and economic consequences have had adverse
impacts on physical and mental health worldwide and exposed all segments of the …