# Countering Violent Extremism: A mathematical model

## TL;DR

This paper develops a mathematical compartmental model to analyze the dynamics of violent extremism, incorporating prevention and de-radicalization strategies, and identifies threshold conditions for controlling radicalization.

## Contribution

It introduces a novel compartmental model for CVE strategies, analyzing stability and threshold dynamics using mathematical tools like Lyapunov functions.

## Key findings

- The model exhibits threshold behavior based on the basic reproduction number R0.
- When R0<1, the system stabilizes at a disease-free equilibrium.
- When R0>1, an endemic equilibrium exists and is globally stable.

## Abstract

The term radicalization refers to the process of developing extremist religious political or social beliefs and ideologies. Radicalization becomes a threat to national security when it leads to violence. Prevention and de-radicalization initiatives are part of a set of strategies used to combat violent extremism, which taken together are known as Countering Violent Extremism (CVE). Prevention programs aim to stop the radicalization process before it starts. De-radicalization programs attempt to reform convicted extremists with the ultimate goal of social reintegration. We describe prevention and de-radicalization programs mathematically using a compartmental model. The prevention initiatives are modeled by including a vaccination compartment, while the de-radicalization process is modeled by including a treatment compartment. The model exhibits a threshold dynamics characterized by the basic reproduction number $ R _0 $. When $ R _0< 1 $ the system has a unique equilibrium that is asymptotically stable. When $ R _0 >1 $ the system has another equilibrium called "endemic equilibrium", which is globally asymptotically stable. These results are established by using Lyapunov functions and LaSalle's invariance principle. We perform numerical simulations to confirm our theoretical results.