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Published in 2017 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.25429
Abstract: To detect the consecutive variations of the internetwork interactions over time, which helps to discover the underlying dysfunction of depressive disorders. Abnormal interactions of restingāstate functional networks have been reported in depression. However, little is…
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Keywords:
depression;
salience network;
structure salience;
dynamic community ... See more keywords
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Published in 2020 at "Nature Communications"
DOI: 10.1038/s41467-020-16285-7
Abstract: While current technology permits inference of dynamic brain networks over long time periods at high temporal resolution, the detailed structure of dynamic network communities during human seizures remains poorly understood. We introduce a new methodology…
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Keywords:
methodology;
dynamic community;
functional networks;
time ... See more keywords
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Published in 2021 at "New Journal of Physics"
DOI: 10.1088/1367-2630/abe504
Abstract: Detecting communities of highly internal and low external interactions in dynamically evolving networks has become increasingly important owing to its wide applications in divers fields. Conventional solutions based on static community detection approaches treat each…
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Keywords:
community discovery;
dynamic community;
community;
via common ... See more keywords
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Published in 2021 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2019.2951419
Abstract: Community detection is of great importance for online social network analysis. The volume, variety and velocity of data generated by today's online social networks are advancing the way researchers analyze those networks. For instance, real-world…
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Keywords:
community;
modularity;
dynamic community;
community detection ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/7084084
Abstract: Aiming at the problem of community detection in complex dynamic networks, a dynamic community detection method based on graph convolution neural network is proposed. An encoding-decoding mechanism is designed to reconstruct the feature information of…
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Keywords:
detection method;
detection;
community detection;
dynamic community ... See more keywords
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Published in 2020 at "Journal of attention disorders"
DOI: 10.1177/1087054720959712
Abstract: OBJECTIVE Some static network studies have suggested that the community structure in the brains of ADHD patients is altered. However, ADHD is now increasingly regarded as a disorder of neural dynamics, but the dynamic reconstruction…
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Keywords:
dynamic community;
community;
disorder;
community structure ... See more keywords