Deep learning of contagion dynamics on complex networks
Prediction of contagion dynamics is of relevance for epidemic and social complex networks. Murphy et al. propose a data-driven approach based on deep learning which allows to learn mechanisms governing network dynamics and make predictions beyond the training data for arbitrary network structures.
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Main Authors: | Charles Murphy, Edward Laurence, Antoine Allard |
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Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2021
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Online Access: | https://doaj.org/article/dd478dea3f164012a35d9b2dec8c9bb8 |
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