Graph-theoretical global migration network analysis 1990-2020
Γραφο-θεωρητική ανάλυση παγκόσμιου δικτύου μεταναστευτικών ροών 1990-2020
View/
Keywords
Global migration ; Migration networks ; Graph theory ; Network analysis ; Modularity class ; Eigenvector centrality ; Betweenness centrality ; Weighted degree ; Migration hubs ; Core-Periphery structure ; Bridge countries ; Regionalization of migration ; Gephi visualization ; Structural inequalities ; Migration policy ; ConnectivityAbstract
Global migration is a dynamic and complicated phenomenon that profoundly impacts political, social, and economic structures. The globally migration networks from 1990 to 2020 are analysed in this thesis using a graph-theoretical approach, offering a fresh viewpoint on migration dynamics by looking at the connections and exchanges between nations. The study employs metrics like modularity class, eigenvector centrality, betweenness centrality, and weighted degree to reveal the hierarchical and interconnected nature of migration networks by converting migration data into graph structures, where nodes stand for countries and edges for migration flows. Global migration is facilitated by powerful hubs such as China, Germany, and the United States, which dominate the core-periphery pattern revealed by the investigation. Peripheral countries continue to be highly dependent on these hubs for connectivity, while bridge countries like Mexico and Turkey are recognized as essential connections between various regional clusters. Analysis of modularity class reveals significant regionalization, with movement trends frequently limited by historical ties, economic agreements, and geographic closeness. The majority of migrant movements are controlled by a small number of dominating nodes, whereas peripheral nations are marginalized, as revealed by weighted degree and centrality metrics. The study emphasizes the various dynamics across regions, impacted by socioeconomic, political, and environmental factors, by comparing regional migratory networks. The results highlight the necessity of strengthening peripheral areas, improving global connectivity, and ensuring the ability of migratory systems to withstand disturbances. In addition to enhancing academic knowledge of migration, our research offers policymakers useful guidance on how to reduce structural injustices and create more inclusive migratory networks. This thesis fills methodological deficiencies in the field of migration studies by utilizing graph theory to provide a thorough framework for studying one of the most important global issues of our time.
Postgraduate Studies Programme
Κυβερνοασφάλεια και Επιστήμη ΔεδομένωνDepartment
Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα ΠληροφορικήςNumber of pages
69Language
EnglishCollections
Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα