| Title: | Quantifying the impact of cyberattacks on global trade networks: a network analysis approach : doctoral dissertation |
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| Authors: | ID Morić, Zlatan (Author)
ID Kopal, Robert (Mentor) More about this mentor... 
ID Levnajić, Zoran (Comentor) |
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| Files: |  DR_Moric_Zlatan_2026.pdf (6,86 MB)
MD5: 7664C573F3E8E2F0E91AF224730FA979
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| Language: | English |
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| Work type: | Doctoral dissertation |
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| Typology: | 2.08 - Doctoral Dissertation |
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| Organization: | FIŠ - Faculty of Information Studies in Novo mesto
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| Abstract: | This dissertation examines the reciprocal relationship between cyberattacks and global trade networks. Directed weighted networks constructed from bilateral trade data (2010–2020) are linked to country-level cyber incident records. Logistic and negative binomial models show that structurally accessible countries face significantly higher cyberattack probabilities (OR = 5.33, p < 0.001) and intensities (IRR = 5.78, p = 0.016). Difference-in-differences, event-study, and spillover analyses find no measurable change in network centrality following attacks (treatment effects < 0.07 SD; spillover coefficients < 0.004, p > 0.38). The central finding is a structural asymmetry: harmonic in-closeness centrality predicts cyber risk, yet the network remains unchanged by the attacks it attracts. Robustness analysis across four trade datasets (Spearman ρ > 0.95) confirms these conclusions are invariant to data source selection. |
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| Keywords: | global trade networks, cyberattack risk, network centrality, structural exposure, systemic resilience, network analysis, cybersecurity |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Place of publishing: | Novo mesto |
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| Place of performance: | Novo mesto |
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| Publisher: | Z. Morić |
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| Year of publishing: | 2026 |
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| Year of performance: | 2026 |
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| Number of pages: | XXV, 218 str. |
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| PID: | 20.500.12556/ReVIS-14245 |
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| COBISS.SI-ID: | 284694019 |
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| UDC: | 004.056:339.5:519.17(043.2) |
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| Note: | Na ov.: Doctoral dissertation;
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| Publication date in ReVIS: | 14.07.2026 |
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| Views: | 65 |
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| Downloads: | 2 |
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