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Network Analysis and its Applications in Financial and Digital Assets
Almazloum, Ward
Almazloum, Ward
Date
2025-12
Author
Advisor
Type
Thesis
Degree
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29.232-2025.21a Ward Almazloum.pdf
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Description
A Master of Science in Mathematics by Ward Almazloum entitled, “Network Analysis and its Applications in Financial and Digital Assets”, submitted in December 2025. Thesis advisor is Dr. Stephen Chan and thesis co-advisor Dr. Ghada Alobaidi. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).
Abstract
In our world, huge datasets often occur in a diverse array of scientific, engineering, and commercial fields. We can see that these datasets are usually shown as a large graph comprising nodes (vertices) and links (edges) with specific attributes. Analyzing the structure of these graphs (networks) is really important to understand the inherent properties of the related applications. Many examples of such networks, like social, communication, biological, and financial systems.In this thesis, network analysis techniques were applied to datasets of financial and digital assets to investigate their structural and temporal properties. Using a combination of statistical analysis and network-based measures, the study uncovered pronounced cyclical patterns in network behavior, characterized by significant variations in centrality and global network metrics over time. The results show that major market disruptions and geopolitical events are associated with sharp declines in degree and eigenvector centrality, network density, and transitivity, alongside increases in mean shortest path length and more volatile assortativity. These findings indicate that periods of heightened uncertainty lead to increased fragmentation and weakened connectivity within financial and digital asset networks. Overall, the analysis demonstrates that network-based approaches provide meaningful insights into the dynamics, resilience, and systemic behavior of complex financial and digital asset markets.