Robust dynamic community detection with applications to human brain functional networks
Understanding how brain networks evolve in time remains a challenge, with the potential for significant impact to human health and disease. Here, the authors introduce a new methodology to track dynamic functional networks that is robust to edge noise, and yields well-defined spatiotemporal communit...
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Main Authors: | , , , , , , , |
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Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2020
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Subjects: | |
Online Access: | https://doaj.org/article/8f7cd92cb2444562a9abbe7affa09f59 |
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