Authors:
Fabio Curi
1
;
Dimitris Nikolopoulos
1
and
Eric Fernandes de Mello Araújo
2
Affiliations:
1
Social AI Research Group, Vrije Universiteit Amsterdam and The Netherlands
;
2
Social AI Research Group, Vrije Universiteit Amsterdam, The Netherlands, Department of Computer Science, Universidade Federal de Lavras and Brazil
Keyword(s):
Social Simulations, Network-oriented Modeling, Refugees Integration, Homophily, Social Network Analysis.
Related
Ontology
Subjects/Areas/Topics:
Case Studies
;
Dynamical Systems Models and Methods
;
Formal Methods
;
Health Engineering and Technology Applications
;
Mathematical Simulation
;
Neural Rehabilitation
;
Neurotechnology, Electronics and Informatics
;
Simulation and Modeling
;
Simulation Tools and Platforms
Abstract:
The present work aims to study and model the integration of refugees who appear in a society, through the implementation of adaptive social networks. In our model, for each individual, their characteristics of religiousness and language skills are considered for the social integration. We also explore the homophily phenomenon as part of the creation of new connections and the changes on the refugees’ traits. As it most commonly happens in real life, refugees appear in a community-structured social network as individual nodes without any connection, and interactions between refugees and non-refugees are built through a defined methodology which applies local search, random attachment and node deletion. We show a few case scenarios and perform a social network analysis.