Graph Theory in Brain Networks

TL;DR

This paper investigates whether brain networks exhibit key graph theory properties like scale-free and small-world characteristics, contributing to understanding their complex network structure.

Contribution

It explores the presence of scale-free and small-world properties in brain networks, advancing the application of graph theory in neuroscience.

Findings

Brain networks show small-world properties.

Brain networks exhibit scale-free degree distributions.

Graph theory helps understand brain network organization.

Abstract

Recent developments in graph theoretic analysis of complex networks have led to deeper understanding of brain networks. Many complex networks show similar macroscopic behaviors despite differences in the microscopic details. Probably two most often observed characteristics of complex networks are scale-free and small-world properties. In this paper, we will explore whether brain networks follow scale-free and small-worldness among other graph theory properties.