At the present time, Wi-Fi networks are everywhere. They operate in unlicensed radio-
frequency spectrum bands (divided in channels), which are highly congested. The purpose …

Massive power-law graphs drive many fields: metagenomics, brain mapping, Internet-of-
things, cybersecurity, and sparse machine learning. The development of novel algorithms …

Graph-theoretical methods have been widely used to study human brain networks in
psychiatric disorders. However, the focus has primarily been on global graphic metrics with …

Network neuroscience, a multidisciplinary field merging insights from neuroscience and
network theory, offers a profound understanding of neural network intricacies. However, the …

Background: Hyperuricemia is the cause of gout. The antioxidant and neuroprotective effects
of uric acid seem to benefit some patients with central nervous system injury. However …

Multimodal brain network analysis has the potential to provide insights into the mechanisms
of brain disorders. Most previous studies have analyzed either unimodal brain graphs or …

Objective: A graph theoretical approach provides a powerful framework for discovering
potential biomarkers of psychotic disorders. Comparing the brain graphs of the control and …

Functional neuroimaging modalities play an important role in deciding the diagnosis and
course of treatment of neuronal dysfunction and degeneration. This article presents an …

Over the past decade, there has been a growing emphasis on neuroscience to analyze the
human brain from the perspective of complex networks. Here, connectomics, or the study of …

A central goal in neuroscience is to understand how dynamic networks of neural activity
produce effective representations of the world. Advances in the theory of graph measures …