This document describes a demo of an application called "Where is my tweet" that visualizes how tweets spread through re-tweets. It tracks re-tweets in real-time using Apache Flink to handle out-of-order data. The application aims to show users their potential audiences geographically and among social groups based on the re-tweet graph. It also identifies influential followers based on metrics like betweenness centrality to determine who could help spread tweets further.

1. Where is my tweet?
Henok Mengistu
Insight Data Engineering Fellow
Silicon Valley, Summer 2016

2. Motivation

3. Motivation
But, this number doesn't show how the tweet spreads-out?

4. But, a re-tweet graph could show

5. A Demo
http://52.33.140.25/
http://www.whereismytweet.online/

6. Under the hood

7. Engineering Challenges
Re-tweets could arrive out of order
– Spark can't sort across a data stream
– Apache Flink

8. ● 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

9. Thank you!

10. 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