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dc.contributor.author | Burgos-Simon, Clara | es_ES |
dc.contributor.author | Cortés, J.-C. | es_ES |
dc.contributor.author | Shaikhet, Leonid | es_ES |
dc.contributor.author | Villanueva Micó, Rafael Jacinto | es_ES |
dc.date.accessioned | 2019-05-11T20:03:05Z | |
dc.date.available | 2019-05-11T20:03:05Z | |
dc.date.issued | 2018 | es_ES |
dc.identifier.issn | 1007-5704 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/120342 | |
dc.description.abstract | [EN] First, we propose a deterministic age-structured epidemiological model to study the diffusion of e-commerce in Spain. Afterwards, we determine the parameters (death, birth and growth rates) of the underlying demographic model as well as the parameters (transmission of the use of e-commerce rates) of the proposed epidemiological model that best fit real data retrieved from the Spanish National Statistical Institute. Motivated by the two following facts: first the dynamics of acquiring the use of a new technology as e-commerce is mainly driven by the feedback after interacting with our peers (family, friends, mates, mass media, etc.), hence having a certain delay, and second the inherent uncertainty of sampled real data and the social complexity of the phenomena under analysis, we introduce aftereffect and stochastic perturbations in the initial deterministic model. This leads to a delayed stochastic model for e-commerce. We then investigate sufficient conditions in order to guarantee the stability in probability of the equilibrium point of the dynamic e-commerce delayed stochastic model. Our theoretical findings are numerically illustrated using real data. (C) 2018 Elsevier B.V. All rights reserved. | es_ES |
dc.description.sponsorship | This work has been partially supported by the Ministerio de Economia y Competitividad grant MTM2017-89664-P. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Communications in Nonlinear Science and Numerical Simulation | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Delayed stochastic nonlinear system of differential equations | es_ES |
dc.subject | Age-structured epidemiological model | es_ES |
dc.subject | Lyapunov stochastic | es_ES |
dc.subject.classification | MATEMATICA APLICADA | es_ES |
dc.title | A nonlinear dynamic age-structured model of e-commerce in Spain: Stability analysis of the equilibrium by delay and stochastic perturbations | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.cnsns.2018.04.022 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2017-89664-P/ES/PROBLEMAS DINAMICOS CON INCERTIDUMBRE SIMULABLE: MODELIZACION MATEMATICA, ANALISIS, COMPUTACION Y APLICACIONES/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto Universitario de Matemática Multidisciplinar - Institut Universitari de Matemàtica Multidisciplinària | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada | es_ES |
dc.description.bibliographicCitation | Burgos-Simon, C.; Cortés, J.; Shaikhet, L.; Villanueva Micó, RJ. (2018). A nonlinear dynamic age-structured model of e-commerce in Spain: Stability analysis of the equilibrium by delay and stochastic perturbations. Communications in Nonlinear Science and Numerical Simulation. 64:149-158. https://doi.org/10.1016/j.cnsns.2018.04.022 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://doi.org/10.1016/j.cnsns.2018.04.022 | es_ES |
dc.description.upvformatpinicio | 149 | es_ES |
dc.description.upvformatpfin | 158 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 64 | es_ES |
dc.relation.pasarela | S\361080 | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |