Autor según el artículo: Massucci F., Wheeler J., Beltrán-Debón R., Joven J., Sales-Pardo M., Guimerà R.

Departamento: Medicina i Cirurgia Enginyeria Química Bioquímica i Biotecnologia

Autor/es de la URV: Beltrán Debón, Raúl Alejandro / Guimera Manrique, Roger / Joven Maried, Jorge / MASSUCCI, FRANCESCO ALESSANDRO / Sales Pardo, Marta

Palabras clave: Perturbed systems inference complex networks belief propagation

Resumen: In a complex system, perturbations propagate by following paths on the network of interactions among the system's units. In contrast to what happens with the spreading of epidemics, observations of general perturbations are often very sparse in time (there is a single observation of the perturbed system) and in 'space' (only a few perturbed and unperturbed units are observed). A major challenge in many areas, from biology to the social sciences, is to infer the propagation paths from observations of the effects of perturbation under these sparsity conditions. We address this problem and show that it is possible to go beyond the usual approach of using the shortest paths connecting the known perturbed nodes. Specifically, we show that a simple and general probabilistic model, which we solved using belief propagation, provides fast and accurate estimates of the probabilities of nodes being perturbed

Áreas temáticas: Química Multidisciplinary sciences Multidisciplinary Medicine (miscellaneous) Interdisciplinar Geociências General medicine Engenharias iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Biotecnología Biodiversidade Astronomia / física

Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/

ISSN: 23752548

Direcció de correo del autor: roger.guimera@urv.cat raul.beltran@urv.cat marta.sales@urv.cat jorge.joven@urv.cat

Identificador del autor: 0000-0002-3597-4310 0000-0001-9691-1906 0000-0002-8140-6525 0000-0003-2749-4541

Fecha de alta del registro: 2023-02-18

Versión del articulo depositado: info:eu-repo/semantics/publishedVersion

Enlace a la fuente original: https://advances.sciencemag.org/content/2/10/e1501638

URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/

Referencia al articulo segun fuente origial: Science Advances. 2 (10): e1501638-

Referencia de l'ítem segons les normes APA: Massucci F., Wheeler J., Beltrán-Debón R., Joven J., Sales-Pardo M., Guimerà R. (2016). Inferring propagation paths for sparsely observed perturbations on complex networks. Science Advances, 2(10), e1501638-. DOI: 10.1126/sciadv.1501638

DOI del artículo: 10.1126/sciadv.1501638

Entidad: Universitat Rovira i Virgili

Año de publicación de la revista: 2016

Tipo de publicación: Journal Publications