This document discusses Facebook data mining and presents case studies analyzing user behavior and page affinity on Facebook. It introduces a framework for measuring distance between pages based on overlapping active users and analyzing fan affinity based on fan information and post-page overlap. Several apps and insights are shared, including analyzing "blue feed vs red feed" and visualizing matrices of page distances and post overlaps. The presentation ends by thanking the audience and providing contact information.

1. Facebook data
mining - case study
20. 6. 2017 Munich
Josef Slerka, Charles University

6. Facebook likes!
Not content but people.
Normalized Facebook Distance.

12. Brick in
The Wall
You are what
You share

13. As you like it…

14. As you like it…
Page affinity model

20. Anti Immigration
crisis

22. https://slerka.shinyapps.io/postanalyzer/

23. Framework
Abstract way how to measure distance between
pages based on active likers overlap.
Share analysis.
Fans affinity analysis based Fans info.
Post-page level overlap.

24. Der Standard
“blue feed vs red feed”

25. der standard

28. RT Germany
work in progress….

29. Some insights
https://slerka.shinyapps.io/matrix-viewer/
https://slerka.shinyapps.io/postoverlapnew/
https://slerka.shinyapps.io/persons-viewer/
https://slerka.shinyapps.io/fansstructure/

30. Thank you
@josefslerka