In the 21st century, those data mining solutions which are based on getting information from social networks, have gained more ground recently. With the information available, we can describe the operation of a community profile and estimate its potential.
The goal of my thesis is gathering data from social networks in order to provide the collected data to analyze the activity of profiles on social networking sites.
I specialize in collecting and processing data in English-language profiles linked to football teams. My task was to gather, and analyse and visualize information, and furthermore to describe potential development directions.
During the data mining progress, three social network sites were used. The working project was a good chance to get acquainted with Facebook, Twitter and Instagram and structure of their user’s profiles. I also managed to know the method of accessing information. A so-called data mining software was architected and implemented, which is able to gather and sort information from these three social network sites. Then, in order to improve the quality of gathered information, I made some data preparing.
I have developed visualization solutions so that the data can be displayed well. I reviewed the potential of the display.
I have developed mockups to illustrate the collected data in the most understandable way. I got to know the Power BI analysis tool, I tested the capabilities of each surface element. I've implemented dashboards based on the mockups.
Next, I tested the efficiency of my software with real information. Incidental weak points and cross-sections were located. I succeeded in finding the most suitable solution to finding the best match for the given query.
Finally, I reviewed the possible development directions of the finalized software, including the gathering module, data preparing and the actual analysis. I made a proposal for repairing the uncovered deficiencies, inaccuracies of the prototype and proposal for increasing effectiveness.