The impact of graph construction scheme and community detection algorithm on the repeatability of community and hub identification in structural brain networks
Abstract
A critical question in network neuroscience is how nodes cluster together to form communities, to form the mesoscale organisation of the brain. Various algorithms have been proposed for identifying such communities, each identifying different communities within the same network. Here, (using test-retest data from the Human Connectome Project), the repeatability of thirty-three community detection algorithms, each paired with seven different...
Paper Details
Title
The impact of graph construction scheme and community detection algorithm on the repeatability of community and hub identification in structural brain networks
Published Date
Jun 25, 2021
Journal
Volume
42
Issue
13
Pages
4261 - 4280
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