A social network model for integration of refugees

Fabio Curi, Dimitris Nikolopoulos, Eric Fernandes De Mello Araújo

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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.

Original languageEnglish
Title of host publicationSIMULTECH 2019
Subtitle of host publicationProceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications
EditorsMohammad Obaidat, Mohammad Obaidat, Tuncer Oren, Helena Szczerbicka
PublisherSciTePress
Pages165-175
Number of pages11
Volume1
ISBN (Electronic)9789897583810
DOIs
Publication statusPublished - 31 Jul 2019
Event9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2019 - Prague, Czech Republic
Duration: 29 Jul 201931 Jul 2019

Conference

Conference9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2019
CountryCzech Republic
CityPrague
Period29/07/1931/07/19

Keywords

  • Homophily
  • Network-oriented Modeling
  • Refugees Integration
  • Social Network Analysis
  • Social Simulations

Fingerprint Dive into the research topics of 'A social network model for integration of refugees'. Together they form a unique fingerprint.

Cite this