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20. 6. 2017 Munich Josef Slerka, Charles University
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Facebook data mining - case study
1.
Facebook data mining -
case study 20. 6. 2017 Munich Josef Slerka, Charles University
2.
3.
4.
5.
6.
Facebook likes! Not content
but people. Normalized Facebook Distance.
7.
8.
9.
10.
11.
12.
Brick in The Wall You
are what You share
13.
As you like
it…
14.
As you like
it… Page affinity model
15.
16.
17.
18.
19.
20.
Anti Immigration crisis
21.
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
26.
27.
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
Download now