Author, as appears in the article.: Valles-Catala, Toni; Massucci, Francesco A; Guimera, Roger; Sales-Pardo, Marta
Department: Enginyeria Química
URV's Author/s: Guimera Manrique, Roger / MASSUCCI, FRANCESCO ALESSANDRO / Sales Pardo, Marta
Keywords: Systems Stochastic systems Stochastic models Stochastic block models Social networks Roles Real-world system Probabilistic solution Prediction Organization Network structures Multiscale Multiple interactions Multilayers Multilayer structures Large scale systems Interconnected networks Indium compounds Dynamical process Different mechanisms Complex networks Community structure Blockmodels Aggregates
Abstract: In complex systems, the network of interactions we observe between systems components is the aggregate of the interactions that occur through different mechanisms or layers. Recent studies reveal that the existence of multiple interaction layers can have a dramatic impact in the dynamical processes occurring on these systems. However, these studies assume that the interactions between systems components in each one of the layers are known, while typically for real-world systems we do not have that information. Here, we address the issue of uncovering the different interaction layers from aggregate data by introducing multilayer stochastic block models (SBMs), a generalization of single-layer SBMs that considers different mechanisms of layer aggregation. First, we find the complete probabilistic solution to the problem of finding the optimal multilayer SBM for a given aggregate-observed network. Because this solution is computationally intractable, we propose an approximation that enables us to verify that multilayer SBMs are more predictive of network structure in real-world complex systems.
Thematic Areas: Physics, multidisciplinary Physics and astronomy (miscellaneous) Physics and astronomy (all) Matemática / probabilidade e estatística General physics and astronomy Engenharias iv Astronomia / física
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: roger.guimera@urv.cat marta.sales@urv.cat
Author identifier: 0000-0002-3597-4310 0000-0002-8140-6525
Record's date: 2024-10-19
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://journals.aps.org/prx/abstract/10.1103/PhysRevX.6.011036
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Physical Review x. 6 (1): 011036-
APA: Valles-Catala, Toni; Massucci, Francesco A; Guimera, Roger; Sales-Pardo, Marta (2016). Multilayer stochastic block models reveal the multilayer structure of complex networks. Physical Review x, 6(1), 011036-. DOI: 10.1103/PhysRevX.6.011036
Article's DOI: 10.1103/PhysRevX.6.011036
Entity: Universitat Rovira i Virgili
Journal publication year: 2016
Publication Type: Journal Publications