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Original paper

Community detection in weighted brain connectivity networks beyond the resolution limit

Volume: 146, Pages: 28 - 39
Published: Nov 16, 2016
Abstract
Graph theory provides a powerful framework to investigate brain functional connectivity networks and their modular organization. However, most graph-based methods suffer from a fundamental resolution limit that may have affected previous studies and prevented detection of modules, or "communities", that are smaller than a specific scale. Surprise, a resolution-limit-free function rooted in discrete probability theory, has been recently...
Paper Details
Title
Community detection in weighted brain connectivity networks beyond the resolution limit
Published Date
Nov 16, 2016
Journal
Volume
146
Pages
28 - 39
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