# Reactive immunization on complex networks

## TL;DR

This paper introduces a dynamic vaccination strategy for complex networks that leverages real-time infection patterns to improve immunization effectiveness and robustness.

## Contribution

It proposes a novel reactive immunization method that uses ongoing infection information, enhancing traditional topological approaches.

## Key findings

- The strategy is effective across various complex network types.
- It outperforms static immunization methods in simulations.
- The approach is robust against different infection scenarios.

## Abstract

Epidemic spreading on complex networks depends on the topological structure as well as on the dynamical properties of the infection itself. Generally speaking, highly connected individuals play the role of hubs and are crucial to channel information across the network. On the other hand, static topological quantities measuring the connectivity structure are independent on the dynamical mechanisms of the infection. A natural question is therefore how to improve the topological analysis by some kind of dynamical information that may be extracted from the ongoing infection itself. In this spirit, we propose a novel vaccination scheme that exploits information from the details of the infection pattern at the moment when the vaccination strategy is applied. Numerical simulations of the infection process show that the proposed immunization strategy is effective and robust on a wide class of complex networks.