144921 20260217205517.0 doi 10.1002/andp.202400078 sideral 139730 ART-2024-139730 eng Granell, Clara Probabilistic discrete-time models for spreading processes in complex networks: a review 2024 Access copy available to the general public Unrestricted 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. info:eu-repo/grantAgreement/ES/MICINN/PID2020-113582GB-I00 info:eu-repo/grantAgreement/ES/MICINN/PID2020-128005NB-C21 info:eu-repo/grantAgreement/ES/UZ-IBERCAJA/224220 info:eu-repo/semantics/openAccess by-nc-nd https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es 2.5 2024 PHYSICS, MULTIDISCIPLINARY 43 / 114 = 0.377 2024 Q2 T2 0.563 2024 Physics and Astronomy (miscellaneous) 2024 Q2 4.4 2024 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Gómez, Sergio Gómez-Gardeñes, Jesús Universidad de Zaragoza (orcid)0000-0001-5204-1937 Arenas, Alex 2003 395 Universidad de Zaragoza Dpto. Física Materia Condensa. Área Física Materia Condensada 536, 10 (2024), 2400078 [20 pp.] Ann. Phys. ANNALEN DER PHYSIK 0003-3804 1176874 http://zaguan.unizar.es/record/144921/files/texto_completo.pdf Versión publicada 2896516 http://zaguan.unizar.es/record/144921/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:144921 articulos driver 2026-02-17-20:27:13 ARTICLE