Repositori institucional URV
| URV's Author/s: | Arenas Moreno, Alejandro / Gómez Jiménez, Sergio / Granell Martorell, Clara |
| Author, as appears in the article.: | Granell C; Gómez S; Gómez-Gardeñes J; Arenas A |
| Author's mail: | clara.granell@urv.cat sergio.gomez@urv.cat alexandre.arenas@urv.cat |
| Author identifier: | 0000-0003-1820-0062 0000-0003-0937-0334 |
| Journal publication year: | 2024 |
| Publication Type: | Journal Publications |
| APA: | Granell C; Gómez S; Gómez-Gardeñes J; Arenas A (2024). Probabilistic Discrete-Time Models for Spreading Processes in Complex Networks: A Review. Annalen Der Physik, 536(10), -. DOI: 10.1002/andp.202400078 |
| Papper original source: | Annalen Der Physik. 536 (10): |
| Abstract: | Research into network dynamics of spreading processes typically employs both discrete and continuous time methodologies. Although each approach offers distinct insights, integrating them can be challenging, particularly when maintaining coherence across different time scales. This review focuses on the Microscopic Markov Chain Approach (MMCA), a probabilistic f ramework originally designed for epidemic modeling. MMCA uses discrete dynamics to compute the probabilities of individuals transitioning between epidemiological states. By treating each time step-usually a day-as a discrete event, the approach captures multiple concurrent changes within this time frame. The approach allows to estimate the likelihood of individuals or populations being in specific states, which correspond to distinct epidemiological compartments. This review synthesizes key findings from the application of this approach, providing a comprehensive overview of its utility in understanding epidemic spread. |
| Article's DOI: | 10.1002/andp.202400078 |
| Link to the original source: | https://onlinelibrary.wiley.com/doi/10.1002/andp.202400078 |
| Papper version: | info:eu-repo/semantics/publishedVersion |
| licence for use: | https://creativecommons.org/licenses/by/3.0/es/ |
| Department: | Enginyeria Informàtica i Matemàtiques |
| Licence document URL: | https://repositori.urv.cat/ca/proteccio-de-dades/ |
| Thematic Areas: | Physics, multidisciplinary Physics and astronomy (miscellaneous) Physics and astronomy (all) Physics Matemática / probabilidade e estatística General physics and astronomy Filosofía Engenharias iii Astronomia / física |
| Keywords: | Transmission Threshol Networks Network Modeling Metapopulation models Epidemiology Epidemics Dynamics Contagions Challenges Behavior |
| Entity: | Universitat Rovira i Virgili |
| Record's date: | 2024-10-26 |
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