Improved brain community structure detection by two-step weighted modularity maximization.

ABSTRACT: The human brain can be regarded as a complex network with interacting connections between brain regions. Complex brain network analyses have been widely applied to functional magnetic resonance imaging (fMRI) data and have revealed the existence of community structures in brain networks. The identification of communities may provide insight into understanding the topological functions of brain networks. Among various community detection methods, the modularity maximization (MM) method has the advantages of model conciseness, fast convergence and strong adaptability to large-scale networks and has been extended from single-layer networks to multilayer networks to investigate the community structure changes of brain networks. However, the problems of MM, suffering from instability and failin

SUBMITTER: Guo Z 

PROVIDER: S-EPMC10707683 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature