Summarising the complexity of a country's economy in a single number is the holy grail for
scholars engaging in data-based economics. In a field where the Gross Domestic Product …

Single-cell RNA-sequencing data has revolutionized our ability to understand of the patterns
of cell–cell and ligand–receptor connectivity that influence the function of tissues and …

Major depressive disorder (MDD) is a debilitating mental health condition that poses
significant risks and burdens. Resting-state functional magnetic resonance imaging (fMRI) …

Identifying vital nodes in networks exhibiting a community structure is a fundamental issue.
Indeed, community structure is one of the main properties of real-world networks. Recent …

Assessing the importance of spreaders in networks is crucial for investigating the survival
and robustness of networks. There are numerous potential applications, such as preventing …

Betweenness centrality (BC) is widely used to identify critical nodes in a network by
exploring the ability of all nodes to act as intermediaries for information exchange. However …

Hierarchy and centrality are two popular notions used to characterize the importance of
entities in complex systems. Indeed, many complex systems exhibit a natural hierarchical …

Identifying vital spreaders of complex networks is a crucial issue that studies the dynamic
processes and analyzes the performance of networks. In this work, we present a new …

Ketamine (KET) and isoflurane (ISO) are two widely used general anesthetics, yet their
distinct and shared neurophysiological mechanisms remain elusive. In this study, we …

How to identify influencers is very significance in mastering the nature of node, controlling
spreading process in complex networks. In this research field, each method has its own …