English: This repository contains all data, scripts and code which were used in my Bachelor Thesis about "The Relevance of Social Media in B2B Industrial Automation".
This project was done for the University of Trier in cooperation with Arend Prozessautomation GmbH, a German Industrial Automation Service Provider. Link: https://www.arend-automation.com/
Extracted information and data of Arend's Competitors from the following social netwoks:
Extraction was done by using the public API's (Facebook & Twitter) as well as done by hand for LinkedIn and Xing due to the current lack of addressable API's by those providers.
The included iPython Notebooks contain my entire analysis of all mined SME's. This data was the foundation of my written Bachelor Thesis.
Tools which were mainly used:
- Numpy
- Pandas
- Matplotlib
- Seaborn
- Plotly
Some additional visualizations (i.e. Twitter WordCloud) were done in the R Programming Language.