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Graph Theory in Brain Networks

2021/03/09 by Moo K. Chung, Chung, Moo K.
Neuroscience · Psychology · #FOS: Biological sciences #Functional Brain Connectivity Studies #Mental Health Research Topics #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Quantitative Methods (q-bio.QM)

paper · pdf · doi:10.48550/arxiv.2103.05781

openalex publication_date 2021/03/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

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