Temporal network analysis using zigzag persistence
Abstract This work presents a framework for studying temporal networks using zigzag persistence, a tool from the field of Topological Data Analysis (TDA). The resulting approach is general and applicable to a wide variety of time-varying graphs. For example, these graphs may correspond to a system m...
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| Главные авторы: | , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
SpringerOpen
2023-03-01
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| Серии: | EPJ Data Science |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1140/epjds/s13688-023-00379-5 |
| Метки: |
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