Modélisation, simulation et analyse multi-échelle de réseaux sociaux complexes : Application à l'aide à la prévention des maladies contagieuses

Abstract : This thesis deals with the establishment of a theoretical framework (conceptualization and formalization) capable of describing the obesity spread within a network of individuals, in order to achieve the right prevention policies and limit the epidemic spread. To do this, I started by initiating an in-depth analysis of the different obesity determinants. Once this stage completed, I developed a network model in which the relations between the individuals, (represented by the nodes of the network) are governed by rules allowing to evaluate the presence/absence of links according to their values of influence, age of the concerned nodes and their homophilic characteristics. This model, based on the age structure and demography, is constituted by two processes: the first one describes obesity at the individual level, by using epidemiological compartments. The second one describes the inter-individual level by using an individual-based network. Later, when the model reached its asymptotic behavior, I studied the social structure obtained to locate the most important individuals to be targeted in the prevention policy. Eventually, to validate the model with data, I realized an investigation in a Tunisian college and compared the obtained results from this study with those obtained from a French college survey.
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Mariem Jelassi. Modélisation, simulation et analyse multi-échelle de réseaux sociaux complexes : Application à l'aide à la prévention des maladies contagieuses. Médecine humaine et pathologie. Université Grenoble Alpes; École Nationale des Sciences de l'Informatique (La Manouba, Tunisie), 2017. Français. ⟨NNT : 2017GREAS033⟩. ⟨tel-01719396⟩

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