Predictability in Social Science, The statistical mechanics approach.


Autoria(s): Seyedi, Seyedalireza
Contribuinte(s)

Contucci, Pierluigi

Data(s)

09/06/2015

Resumo

The subject of this work concerns the study of the immigration phenomenon, with emphasis on the aspects related to the integration of an immigrant population in a hosting one. Aim of this work is to show the forecasting ability of a recent finding where the behavior of integration quantifiers was analyzed and investigated with a mathematical model of statistical physics origins (a generalization of the monomer dimer model). After providing a detailed literature review of the model, we show that not only such a model is able to identify the social mechanism that drives a particular integration process, but it also provides correct forecast. The research reported here proves that the proposed model of integration and its forecast framework are simple and effective tools to reduce uncertainties about how integration phenomena emerge and how they are likely to develop in response to increased migration levels in the future.

Formato

application/pdf

Identificador

http://amsdottorato.unibo.it/7199/1/seyedi_seyedalireza_tesi.pdf

urn:nbn:it:unibo-15078

Seyedi, Seyedalireza (2015) Predictability in Social Science, The statistical mechanics approach., [Dissertation thesis], Alma Mater Studiorum Università di Bologna. Dottorato di ricerca in Matematica <http://amsdottorato.unibo.it/view/dottorati/DOT269/>, 27 Ciclo. DOI 10.6092/unibo/amsdottorato/7199.

Idioma(s)

en

Publicador

Alma Mater Studiorum - Università di Bologna

Relação

http://amsdottorato.unibo.it/7199/

Direitos

info:eu-repo/semantics/openAccess

Palavras-Chave #MAT/07 Fisica matematica
Tipo

Tesi di dottorato

NonPeerReviewed