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Data Science of Messy Metrics
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Data Science of Messy Metrics
1.
Hello Gilad Lotan |
@gilgul | gilad@betaworks.com
2.
3.
4.
5.
still sexy?
6.
Illustration: Matt Taylor
7.
status affordances
8.
9.
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
34.
graph-based analytics
35.
Gilad Lotan |
@gilgul gilad@betaworks.com