Author, as appears in the article.: Massucci, Francesco Alessandro; Wheeler, Jonathan; Beltran-Debon, Raul; Joven, Jorge; Sales-Pardo, Marta; Guimera, Roger
Department: Medicina i Cirurgia Enginyeria Química Bioquímica i Biotecnologia
URV's Author/s: Beltrán Debón, Raúl Alejandro / Guimera Manrique, Roger / Joven Maried, Jorge / MASSUCCI, FRANCESCO ALESSANDRO / Sales Pardo, Marta
Keywords: Perturbed systems Inference Complex networks Belief propagation inference complex networks belief propagation
Abstract: 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
Thematic Areas: 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
licence for use: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 23752548
Author's mail: roger.guimera@urv.cat jorge.joven@urv.cat marta.sales@urv.cat raul.beltran@urv.cat
Author identifier: 0000-0002-3597-4310 0000-0003-2749-4541 0000-0002-8140-6525 0000-0001-9691-1906
Record's date: 2024-10-19
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://advances.sciencemag.org/content/2/10/e1501638
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Science Advances. 2 (10): e1501638-
APA: Massucci, Francesco Alessandro; Wheeler, Jonathan; Beltran-Debon, Raul; Joven, Jorge; Sales-Pardo, Marta; Guimera, Roger (2016). Inferring propagation paths for sparsely observed perturbations on complex networks. Science Advances, 2(10), e1501638-. DOI: 10.1126/sciadv.1501638
Article's DOI: 10.1126/sciadv.1501638
Entity: Universitat Rovira i Virgili
Journal publication year: 2016
Publication Type: Journal Publications