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Mathematical modeling of the propagation of democratic support of extreme ideologies in Spain:Causes, Effects and Recommendations for its stop

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Mathematical modeling of the propagation of democratic support of extreme ideologies in Spain:Causes, Effects and Recommendations for its stop

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dc.contributor.author De la Poza, Elena es_ES
dc.contributor.author Jódar Sánchez, Lucas Antonio es_ES
dc.contributor.author Pricop, Adriana Georgiana es_ES
dc.date.accessioned 2014-03-21T10:55:24Z
dc.date.available 2014-03-21T10:55:24Z
dc.date.issued 2013
dc.identifier.issn 1085-3375
dc.identifier.uri http://hdl.handle.net/10251/36559
dc.description.abstract This paper deals with the construction of a discrete population mathematical model for the short-term forecast until January 2016 of the electoral support of extreme ideology parties in Spain. Firstly, the nontrivial concept of extreme ideology is stated. Then, the electoral register is split in three subpopulations: supporters of extremist parties, abstentions/blank voters, and supporters of establishment parties. The model takes into account the following variables: economy measured throughout the Spanish unemployment rate; demography quantified in terms of birth and death rates and emigration; sociopolitical situation measured by the Spanish poverty indicator, trust on the Government labor indicator (GLI), and the indicator of political trust. By considering the dynamic subpopulations transits built throughout data obtained from public and private prestigious institutions and sociopolitical analysis, a system of difference equations models the electoral population behavior in Spain allowing us to compute the expected electoral support in the time horizon of January 2016. Sensitivity analysis versus uncertain parameters is performed in order to improve the reliability of the model results. es_ES
dc.description.sponsorship The authors of this paper would like to thank Phd. Pauwels from Universite Libre de Bruxelles and also Professor Eva Anduiza and her coworkers from Universidad Autonoma de Barcelona (UAB) for their valuable comments that have enriched our research. The authors would also thank the Universitat Poliecnica de Valencia since this paper has been financed through the Grant PAID06-11-2070. en_EN
dc.language Inglés es_ES
dc.publisher Hindawi Publishing Corporation es_ES
dc.relation.ispartof Abstract and Applied Analysis es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject.classification ECONOMIA FINANCIERA Y CONTABILIDAD es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Mathematical modeling of the propagation of democratic support of extreme ideologies in Spain:Causes, Effects and Recommendations for its stop es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1155/2013/729814 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-06-11-2070/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Economía y Ciencias Sociales - Departament d'Economia i Ciències Socials es_ES
dc.description.bibliographicCitation De La Poza, E.; Jódar Sánchez, LA.; Pricop, AG. (2013). Mathematical modeling of the propagation of democratic support of extreme ideologies in Spain:Causes, Effects and Recommendations for its stop. Abstract and Applied Analysis. 2013(1):1-8. https://doi.org/10.1155/2013/729814 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1155/2013/729814 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 8 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 2013 es_ES
dc.description.issue 1 es_ES
dc.relation.senia 255834
dc.contributor.funder Universitat Politècnica de València es_ES
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dc.description.references De la Poza, E., del Líbano, M., García, I., Jódar, L., & Merello, P. (2013). Predicting workaholism in Spain: a discrete mathematical model. International Journal of Computer Mathematics, 91(2), 233-240. doi:10.1080/00207160.2013.783205 es_ES
dc.description.references García, I., Jódar, L., Merello, P., & Santonja, F.-J. (2011). A discrete mathematical model for addictive buying: Predicting the affected population evolution. Mathematical and Computer Modelling, 54(7-8), 1634-1637. doi:10.1016/j.mcm.2010.12.012 es_ES


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