A Complex Systems Approach to Understanding Cybercrime Ecosystem Dynamics in Nigeria

Nigeria's cybercrime ecosystem exhibits complex adaptive system properties, with criminal actors, victims, law enforcement, and technology platforms interacting in non-linear ways that conventional criminological and security frameworks cannot adequately model. This study developed and applied a complex systems theoretical framework to understand cybercrime ecosystem dynamics in Nigeria. A multi-method complexity research design was employed: social network analysis of cybercriminal organisation structures derived from EFCC case records (with ethical protocols), agent-based modelling of cybercrime ecosystem evolution under different law enforcement and awareness intervention scenarios, and qualitative systems mapping with 30 cybersecurity practitioners, law enforcement officials, and victims across four geopolitical zones. Social network analysis of 45 Nigerian cybercrime case networks revealed scale-free properties with small groups of high-connectivity brokers serving essential coordination functions. Agent-based simulation confirmed that enforcement actions targeting peripheral actors produced negligible deterrence while broker targeting caused significant disruption. Simulation also showed that consumer awareness campaigns had superlinear deterrence effects above a critical awareness threshold. Qualitative systems mapping generated a 58-node causal loop diagram identifying three reinforcing feedback loops maintaining cybercrime ecosystem stability. The original Complex Cybercrime Ecosystem Framework proposes four leverage points for systemic disruption: broker node prosecution, money flow disruption, awareness threshold crossing, and legitimate economic alternatives. Expert review by 18 specialists confirmed the framework's theoretical originality and policy relevance.

Keywords: cybercrime ecosystem, complex adaptive systems, agent-based modelling, Nigeria, social network analysis