Quantifying the impact of cyberattacks on global trade networks: a network analysis approachMorić, Zlatan (Avtor) Kopal, Robert (Mentor) Levnajić, Zoran (Komentor) global trade networkscyberattack risknetwork centralitystructural exposuresystemic resiliencenetwork analysiscybersecurityThis 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.Z. Morić20262026-07-14 12:21:05Doktorsko delo/naloga14245sl