Data Science of Messy Metrics

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Gilad Lotan

My #TEDxPoynter talk slides

Technology Business

Hello
Gilad Lotan | @gilgul |
gilad@betaworks.com

Newtown Shooting
News Breaks
Obama visits

User A User B
Graph Representation of Social Data
User A is connected to B
User A User B
User A follows User B
Word A Word B
Word A appeared with Word B
User A User B
User A retweeted User B
connection
follows
appears with
retweeted

Graph Measures
• Centrality
– Betweenness
– Closeness
– Eigenvector
– Degree
• Clustering Coefficient (clique)
• Modularity
outdegree=2
indegree=3
degree=5

Twitter Users with “python” in their
Bios
• 2 days of Twitter
data
• 4246 users
• 62k tweets
• Colors represent
modularity class

Pythonistas on
Twitter
English / European
Japanese
Python
(the snake)
Chinese
Spanish Speakers
Musicians, Artists

#Debates / Ohio
Politicos
OSU Students
Ohio based Media

Fragmented audiences
+
multiple platforms
=
very messy data

Gilad Lotan | @gilgul
gilad@betaworks.com

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Data Science of Messy Metrics

1. Hello Gilad Lotan | @gilgul | gilad@betaworks.com

5. still sexy?

6. Illustration: Matt Taylor

7. status affordances

10.

11. let’s look at some data

12. Establishing the Norm

13. Data Reflects Us

14. Social Movement TV Show Awards Ceremony

15.

16. Newtown Shooting News Breaks Obama visits

17.

18. Volatility of Trends over Time

19. network analysis

20. User A User B Graph Representation of Social Data User A is connected to B User A User B User A follows User B Word A Word B Word A appeared with Word B User A User B User A retweeted User B connection follows appears with retweeted

21. Graph Measures • Centrality – Betweenness – Closeness – Eigenvector – Degree • Clustering Coefficient (clique) • Modularity outdegree=2 indegree=3 degree=5

22. Twitter Users with “python” in their Bios • 2 days of Twitter data • 4246 users • 62k tweets • Colors represent modularity class

23. Pythonistas on Twitter English / European Japanese Python (the snake) Chinese Spanish Speakers Musicians, Artists

24.

25. #Debates / Ohio

26. #Debates / Ohio Politicos OSU Students Ohio based Media

27. VP Debate

28.

29. supportaccusations

30.

31.

32. Fragmented audiences + multiple platforms = very messy data

33. metrics in context