Analysis of Modern Deterrence Strategies Against Organized Economic Crime: A Network-Oriented Approach to the Management of Complex Corruption
Keywords:
Networked economic corruption, organized criminology, network‑based deterrence, financial transparency, data analysisAbstract
The present study aims to examine the multilayered and structured nature of network-based economic corruption, demonstrating that this form of corruption is not merely the product of individual misconduct but rather the outcome of coordinated interactions among a range of actors operating across different administrative and economic levels. The central question is why corruption networks continue to reproduce themselves and adapt to changing circumstances despite the expansion of legal frameworks and oversight institutions, and what mechanisms can effectively disrupt their concealed operational cycles. The findings indicate that economic corruption networks function through informal relationships, intermediary actors, shell companies, and the exploitation of regulatory loopholes. Their primary focus is on critical nodes whose identification requires data-driven analysis and a network-oriented approach. The study further reveals that tools such as algorithmic transaction analysis, financial transparency systems, and the integration of institutional databases demonstrate the highest levels of effectiveness in detecting hidden patterns and tracing illicit financial flows. Comparative analyses show that countries that have successfully reduced organized corruption have relied on a combination of interagency cooperation, intelligent monitoring technologies, financial transparency regulations, and effective whistleblower protection mechanisms. Examination of real-world cases also indicates that purely judicial responses, in the absence of structural reforms, merely result in the replacement of individuals within corruption networks and fail to generate sustainable outcomes. The research employed a descriptive–analytical methodology, utilizing network analysis, case-study examination, and comparative analysis of domestic and international models. The findings suggest that the most effective deterrence strategy is one that simultaneously targets the structural, behavioral, and motivational dimensions of corruption networks and employs intelligent interventions to disrupt their key nodes.
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Copyright (c) 2025 Fatemeh Sanobar Limakeshi (Author); Mazher Khajevand; Mohsen Fallah (Author)

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