This presentation on Twitter Dynamics is part of the ARCOMEM training curriculum. Feel free to roam around or contact us on Twitter via @arcomem to learn more about ARCOMEM training on archiving Social Media.

1. Twitter Dynamics
ATHENA – Research and Innovation Center in Information,
Communication and Knowledge Technologies

2. Objective
• Based on data extracted from Twitter, we construct
a network of time-stamped term associations
• Queries that can be answered
– “What are the hashtags associated with #obama at time instance t?”
– “Give me the tweets that mention #cnn during the periods that
#obama is associated with #romney”
– “How the hashtags associated with #obamawins have evolved over
time?”
2Twitter Dynamics

3. Implementation
• Developed in JAVA
• Wide range of storage options for models
– Relational databases (MySQL, Postgresql)
– Graph database (Neo4J)
– RDF triplestore (H2RDF)
• Tested with up to 13 millions of Tweets
3Twitter Dynamics

4. UI For Exploring Twitter Dynamics
• Interface for Twitter Dynamics will provide a view on
the important hashtags for a campaign
– How their importance has evolved over time
– How their association with other hashtags has evolved
– Viewing evolution of associations with different time
granularities: hourly, daily, weekly
4Twitter Dynamics