Complex networks are ubiquitous: a cell, the human brain, a group of people and the
Internet are all examples of interconnected many-body systems characterized by …

Centrality indices are a popular tool to analyze structural aspects of psychological networks.
As centrality indices were originally developed in the context of social networks, it is unclear …

Background Long-COVID refers to a variety of symptoms affecting different organs reported
by people following Coronavirus Disease 2019 (COVID-19) infection. To date, there have …

Abstract Non Fungible Tokens (NFTs) are digital assets that represent objects like art,
collectible, and in-game items. They are traded online, often with cryptocurrency, and are …

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

The COVID-19 pandemic spreads rapidly around the world, and has given rise to huge
impacts on all aspects of human society. This study utilizes big data techniques to analyze …

Dynamic graph neural networks (DyGNNs) have demonstrated powerful predictive abilities
by exploiting graph structural and temporal dynamics. However, the existing DyGNNs fail to …

Nursing homes and other long-term care facilities account for a disproportionate share of
COVID-19 cases and fatalities worldwide. Outbreaks in US nursing homes have persisted …

Multilayer networks is a rising topic in Network Science which characterizes the structure
and the function of complex systems formed by several interacting networks. Multilayer …

Real networks exhibit heterogeneous nature with nodes playing far different roles in
structure and function. To identify vital nodes is thus very significant, allowing us to control …