An avant-garde approach for detection of key individuals with leader hierarchy determination using FIMAX Model (Anti — Terrorism approach)

The current study attempts to examine the terrorist network. The purpose of this study is to explore the relationship among terrorist nodes and their importance. The study employed a quantitative and qualitative methodology using the power of ORALITE software based on 9/11 terrorist data set. The proposed technique works based on the network parameters like Betweenness, Closeness and PageRank centrality. The FIMAX model consists of four main stages: (a) Computation of Fitness Function. (b) Rank allocation using obtained Fitness Function. (c) Removal of top ranked node. (d) Generation of hierarchical structure using max heap algorithm. The experimental result shows that the proposed methodology is efficacious in assisting to find important nodes and to further destabilize the network. Findings of this study can be considered valuable to law enforcement agencies and scholars in the field of terrorist mining. Global detective agencies can also use these results for investigating the terrorist network.