• datamining
• network
• coordination
• ukraine
• bot
• socialbot
• Twitter
• clustering

The main objective of this thesis is to describe the work done to create a tool capable of detecting groups of coordinated communities on Twitter.
Starting by analyzing the current state-of-the-art solutions, the thesis explains the new approach used by the tool, which doesn't require the use of thresholds to define the difference between what is a cluster in a network and what isn't.
Then the thesis explained how an initial implementation of the algorithm was expanded to be compatible with the new iterations of the Twitter API and to work on NIFI.
At the end, the tool is tested on the dataset of all the tweets of the first week of the Ukrainian invasion that talked about it and is used to analyze the coordinated groups of users that were formed.