8. The data
● An original tweet
{ ….
"text": "McAllen, Texas- 8 miles from U.S. - Mexico border ", "id":
743485792585146368, "user": { "id": 25073877,"screen_name":
"realDonaldTrump" },"created_at": "Thu Jun 16 16:50:00 +0000 2016"
…. }
● A re-tweet
{…
"text": “McAllen, Texas- 8 miles from U.S. - Mexico border”
"screen_name": "trinnitythomps1","created_at": "Thu Jun 16
16:50:13 +0000 2016", "user": {"id": 2894078186}
"retweeted_status":{"id": 743485792585146368}
...}
9. Data Pipeline
Watches out for a tweet by
a specific user
Filter and sort re-tweets
and
put them in Redis
Builds graph
Creates a topic with tweets
as messages
10. ● I am Henok
– Originally, from Ethiopia
– Currently, a PhD student at the University of
Wyoming
● Working on Evolutionary Computation
– I like playing and watching Soccer
– But skiing, not so much so
12. Queries
● On the re-tweet graph
– who are my audiences?
● Geographically, social groups
– Betweenness centrality
● Who is relevant to spread out my tweet?
● Identify influential followers