Modeling memory in time-respecting paths on temporal networks
Abstract Human close-range proximity interactions are the key determinant for spreading processes like knowledge diffusion, norm adoption, and infectious disease transmission. These dynamical processes can be modeled with time-respecting paths on temporal networks. Here, we propose a framework to qu...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
SpringerOpen
2026-05-01
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| Serie: | EPJ Data Science |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1140/epjds/s13688-026-00663-0 |
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