Persistent homology of time-dependent functional networks constructed from coupled time series
We use topological data analysis to study “functional networks” that we construct from time-series data from both experimental and synthetic sources. We use persistent homology with a weight rank clique filtration to gain insights into these functional networks, and we use persistence landscapes to...
| Main Authors: | , , |
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| Format: | Journal article |
| Published: |
AIP Publishing
2017
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