Data mining on social network X using tool NodeXL

The topic of this diploma thesis is the search and acquisition of data from the social network X, starting with the choice of a suitable tool for obtaining this data, through its initial analysis, cleaning and detailed analysis, to evaluation. As a model for the progress of this work was chosen the CRISP-DM methodology, which was subsequently modified for the needs of this work. The main goal of this work is to create a sample procedure for obtaining and processing data from the social network X, which can subsequently be used for follow-up or similar work with a similar goal. As the chosen tool to fulfill this goal was chosen the social network analysis tool NodeXL, which is an extension of the Microsoft Excel program. Another goal is to become familiar with the selected NodeXL tool and to describe how to use it, so that any other projects can draw on this knowledge and make their own work easier. The third goal is to select a specific subject as the topic of the data that is worked with in this work, and to present the possible processing of such data on sample data. After some changes, the video game Baldur's Gate 3 was chosen as the topic, and specific data was obtained from the X social network in the form of tweets and their authors from the period from 01. 08. 2023 00:00 to 09. 08. 2023 00:00 using tool NodeXL. All three goals were met, and useful knowledge was obtained thanks to the work on them that can be used by others for similar projects.