Analyse der Entwicklungstreiber milit\"arischer Schwarmdrohnen durch Natural Language Processing

TL;DR

This study uses NLP techniques to analyze 946 studies on military swarm drones, revealing research drivers, geographic distribution, and subdomain focus, highlighting trends and gaps in this emerging field.

Contribution

It provides the first comprehensive analysis of research trends and geographic differences in military swarm drone studies using NLP methods.

Findings

Most research is from Western countries, especially the US, UK, and Germany.

Significant differences in subdomains studied across countries.

Peak publication years are 2019 and 2020.

Abstract

Military drones are taking an increasingly prominent role in armed conflict, and the use of multiple drones in a swarm can be useful. Who the drivers of the research are and what sub-domains exist is analyzed and visually presented in this research using NLP techniques based on 946 studies. Most research is conducted in the Western world, led by the United States, the United Kingdom, and Germany. Through Tf-idf scoring, it is shown that countries have significant differences in the subdomains studied. Overall, 2019 and 2020 saw the most works published, with significant interest in military swarm drones as early as 2008. This study provides a first glimpse into research in this area and prompts further investigation.